Content
The page lists our representative publications in chronological order. For code, dataset and demos, please visit the Project page.
Book
- Z. Wang and A. C. Bovik, “Modern Image Quality Assessment,” in syntheses lectures on Image, Video and Multimedia Processing, Morgan & Claypool Publishers, Mar. 2006.
Journal Papers
2025
2024
- W. Zhou and Z. Wang, “Perceptual Depth Quality Assessment of Stereoscopic Omnidirectional Images”, IEEE Transactions on Circuits and Systems for Video Technology, vol. 34, no. 12, pp. 13452-13462, Aug. 2024.
2023
Q. Liu, H. Su, Z. Duanmu, W. Liu and Z. Wang, “Perceptual quality assessment of colored 3D point clouds”, IEEE Transactions on Visualization and Computer Graphics, vol. 29, no. 8, pp. 3642-3655, Aug. 2023.
Z. Duanmu, W. Liu, D. Chen, Z. Li, Z. Wang, Y. Wang, and W. Gao, “A Bayesian quality-of-experience model for adaptive streaming videos”, ACM Transactions on Multimedia Computing Communications and Applications, vol. 18, Issue 3s, pp. 1-24, Feb. 2023.
S. Athar and Z. Wang, “Degraded reference image quality assessment”, IEEE Transactions on Image Processing, vol. 32, pp. 822-837, Jan. 2023.
2022
2021
- Z. Duanmu, W. Liu, Z.Wang, Z. Wang, “Quantifying Visual Image Quality: A Bayesian View”, Annual Review of Vision Science, 2021. [Project page] [Dataset page]
2020
K. Ma, Z. Duanmu, H. Zhu, Y. Fang and Z. Wang, “Deep guided learning for fast multi-exposure image fusion,” IEEE Transactions on Image Processing, to appear 2020.
K. Ma, Z. Duanmu, Z. Wang, Q. Wu, W. Liu, H. Yong, H. Li and L. Zhang, “Group maximum differentiation competition: model comparison with few samples,” IEEE Transactions on Pattern Analysis and Machine Intelligence, to appear 2020.
W. Zhang, K. Ma, J. Yan, D. Deng, and Z. Wang, “Blind image quality assessment using a deep bilinear convolutional neural network,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 30, no. 1, pp. 36-47, Jan. 2020.
2019
S. Athar and Z. Wang, “A comprehensive performance evaluation of image quality assessment algorithms,” IEEE Access, vol. 7, pp. 140030-140070, 2019.
Y. Fang, H. Zhu, Z. Wang and S. Li, “Perceptual evaluation of multi-exposure image fusion of dynamic scenes,” IEEE Transactions on Image Processing, vol. 29, pp. 1127-1138, Sept. 2019.
Z. Wang and A. Rehman, “Begin with the end in mind: a unified end-to-end quality-of-experience monitoring, optimization and management framework,”SMPTE Motion Imaging Journal, Society of Motion Picture Technology and Engineering, SMPTE Motion Imaging Journal, Society of Motion Picture Technology and Engineering, vol. 128, no. 2, pp. 1-8, Mar. 2019.
2018
Z. Duanmu, K. Ma, and Z. Wang, “Quality-of-experience for adaptive streaming video: an expectation confirmation theory motivated approach,” IEEE Transactions on Image Processing, vol. 27, no. 12, pp. 6135-6146, Dec. 2018.
K. Ma, H. Fu, T. Liu, Z. Wang, and D. Tao, “Deep blur mapping: exploiting high-level semantics by deep neural networks,” IEEE Transactions on Image Processing, vol. 27, no. 10, pp. 5155-5166, Oct. 2018.
Z. Duanmu, A. Rehman and Z. Wang, “A quality-of-experience database for adaptive video streaming,” IEEE Transactions on Broadcasting, vol. 64, no. 2, pp. 474-487, Jun. 2018.
K. Ma, Z. Duanmu, H. Yeganeh, and Z. Wang, “Multi-exposure image fusion by optimizing a structural similarity index,” IEEE Transactions on Computational Imaging, vol. 4, no. 1, pp. 60-72, Mar. 2018.
K. Ma, W. Liu, K. Zhang, Z. Duanmu, Z. Wang, and W. Zuo, “End-to-end blind image quality assessment using deep neural networks,” IEEE Transactions on Image Processing, vol. 27, no. 3, pp. 1202-1213, Mar. 2018.
S. Wang, K. Gu, K. Zeng, Z. Wang and W. Lin, “Objective Quality Assessment and Perceptual Compression of Screen Content Images,” feature article in IEEE Computer Graphics and Applications, vol. 38, no. 1, pp. 47-58, Jan.-Feb. 2018.
2017
X. Min, K. Ma, K. Gu, G. Zhai, Z. Wang and W. Lin, “Unified blind quality assessment of compressed natural, graphic and screen content images,” IEEE Transactions on Image Processing, vol. 26, no. 11, pp. 5462-5474, Nov. 2017.
Q. Wu, H. Li, Z. Wang, F. Meng, B. Luo, W. Li, and K. N. Ngan, “Blind image quality assessment based on rank-order regularized regression,” IEEE Transactions on Multimedia, vol. 19, no. 11, pp. 2490-2504, Nov. 2017.
S. Wang, A. Rehman, K. Zeng, J. Wang and Z. Wang, “SSIM-motivated two-pass VBR coding for high efficiency video coding,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 27, no. 10, pp. 2189-2203, Oct. 2017.
K. Ma, W. Liu, T. Liu, Z. Wang, and D. Tao, “dipIQ: blind image quality assessment by learning-to-rank discriminable image pairs,” IEEE Transactions on Image Processing, vol. 26, no. 8, pp. 3951-3964, Aug. 2017.
K. Ma, H. Li, H. Yong, Z. Wang, D. Meng, L. Zhang, “Robust multi-exposure image fusion: A structural patch decomposition approach,” IEEE Transactions on Image Processing, vol. 26, no. 5, pp. 2519-2532, May 2017.
J. Wang, S. Wang, K. Ma and Z. Wang, “Perceptual depth quality in distorted stereoscopic images,” IEEE Transactions on Image Processing, vol. 26, no. 3, pp. 1202-1215, Mar. 2017.
J. Wang, S. Wang and Z. Wang, “Asymmetrically compressed stereoscopic 3D videos: quality assessment and rate-distortion performance evaluation,” IEEE Transactions on Image Processing, vol. 26, no. 3, pp. 1330-1343, Mar. 2017.
K. Ma, Z. Duanmu, Q. Wu, Z. Wang, H. Yong, H. Li, and L. Zhang, “Waterloo exploration database: new challenges for image quality assessment models,” IEEE Transactions on Image Processing, vol. 26, no. 2, pp. 1004-1016, Feb. 2017.
Z. Duanmu, K. Zeng, K. Ma, A. Rehman, and Z. Wang “A quality-of-experience index for streaming video,” IEEE Journal of Selected Topics in Signal Processing (JSTSP), vol. 11, no. 1, pp. 154-166, Feb. 2017.
2016
T. Zhao, Z. Wang and C.-W. Chen, “Adaptive quantization parameter cascading in HEVC hierarchical coding,” IEEE Transactions on Image Processing, vol. 25, no. 7, pp. 2997-3009, July 2016.
W. Zhang, A. Borji, Z. Wang, P. Le Callet, and H. Liu, “The application of visual saliency models in objective image quality assessment: A statistical evaluation,” IEEE Transactions on Neural Networks and Learning Systems, vol. 27, no. 6, pp. 1266-1278, June 2016.
F. Manji, J. Wang, G. Norman, Z. Wang and D. Koff, “Comparison of dual energy subtraction chest radiography and traditional chest X-rays in the detection of pulmonary nodules”, Quantitative Image in Medicine and Surgery, vol. 6, no. 1, pp. 1-5, Feb. 2016.
2015
K. Ma, T. Zhao, K. Zeng and Z. Wang, “Objective quality assessment for color-to-gray image conversion,” IEEE Transactions on Image Processing, vol. 24, no. 12, pp. 4673-4685, Dec. 2015.
S. Wang, K. Ma, H. Yeganeh, Z. Wang and W. Lin, “A patch structure representation method for quality assessment of contrast changed images,” IEEE Signal Processing Letters, vol. 22, no. 12, pp. 2387-2390, Dec. 2015.
H. Yeganeh, M. Rostami and Z. Wang, “Objective quality assessment of interpolated natural images,” IEEE Transactions on Image Processing, vol. 24, no. 11, pp. 4651-4663, Nov. 2015.
J. Wang, A. Rehman, K. Zeng, S. Wang and Z. Wang, “Quality prediction of asymmetrically distorted stereoscopic 3D images,” IEEE Transactions on Image Processing, vol. 24, no. 11, pp. 3400-3414, Nov. 2015.
K. Ma, K. Zeng and Z. Wang, “Perceptual quality assessment for multi-exposure image fusion,” IEEE Transactions on Image Processing, vol. 24, no. 11, pp. 3345-3356, Nov. 2015.
K. Ma, H. Yeganeh, K. Zeng and Z. Wang, “High dynamic range image compression by optimizing tone mapped image quality index,” IEEE Transactions on Image Processing, vol. 24, no. 10, pp. 3086-3097, Oct. 2015.
R. Hassen, Z. Wang and M. Salama, “Objective quality assessment for multi-exposure multi-focus image fusion,” IEEE Transactions on Image Processing, vol. 24, no. 9, pp. 2712-2714, Sep. 2015.
Y. Fang, K. Ma, Z. Wang, W. Lin, Z. Fang and G. Zhai, “No-reference quality assessment of contrast-distorted images based on natural scene statistics,” IEEE Signal Processing Letters, vol. 22, no. 7, pp. 838-842, Jul. 2015.
T. Zhao, J. Wang, Z. Wang and C.-W. Chen, “SSIM-based coarse-grain scalable video coding,” IEEE Transactions on Broadcasting, vol. 61, no. 2, pp. 210-221, Jun. 2015.
M. Rostami, O. Michailovich and Z. Wang, “Surface reconstruction in gradient-field domain using compressed sensing,” IEEE Transactions on Image Processing, vol. 24, no. 5, pp. 1628-1638, May 2015.
2014
D. Z. Rodriguez, Z. Wang, R. L. Rosa and G. Bressan, “The Impact of Video-Quality-Level Switching on User Quality-of-Experience in Dynamic Adaptive Streaming over HTTP,” EURASIP Journal on Wireless Communications and Networking, no. 216, Dec. 2014.
Y. Fang, Z. Wang, W. Lin, and Z. Fang, “Video saliency incorporating spatiotemoral cues and uncertainty weighting,” IEEE Transactions on Image Processing, vol. 23, no. 9, pp. 3910-3921, Sept. 2014.
Y. Fang, K. Zeng, Z. Wang, W. Lin, Z. Fang, and C.-W. Lin, “Objective quality assessment for image retargeting based on structural similarity,” IEEE Journal on Emerging and Selected Topics in Circuits and Systems, special issue on Content-Aware Visual Systems: Analysis Streaming and Retargeting, vol. 4, no. 1, pp. 95-105, Mar. 2014.
2013
T. Zhao, Z. Wang and S. Kwong, “Flexible mode selection and complexity allocation in high efficiency video coding,” IEEE Journal of Selected Topics in Signal Processing, special issue on Video Coding: HEVC and Beyond, vol. 7, no. 6, pp.1135-1144, Dec. 2013.
A. Rehman, Y. Gao, J. Wang and Z. Wang, “Image classification based on complex wavelet structural similarity,” Signal Processing: Image Communication, special issue on Biologically Inspired Approaches for Visual Information Processing and Analysis, vol. 28, no. 8, pp. 984-992, Sep. 2013.
R. Hassen, Z. Wang and M. Salama, “Image sharpness assessment based on local phase coherence,” IEEE Transactions on Image Processing, vol. 22, no. 7, pp. 2798-2810, July 2013.
N. Nikvand and Z. Wang, “Image distortion analysis based on normalized perceptual information distance,” Signal, Image and Video Processing, special issue on Human Vision and Information Theory, vol. 7, no. 3, pp. 403-410, May 2013.
S. Wang, A. Rehman, Z. Wang, S. Ma and W. Gao, “SSIM-inspired divisive normalization for perceptual video coding,” IEEE Transactions on Image Processing, vol. 22, no. 4, pp. 1418-1429, Apr. 2013.
T. Zhao, S. Kwong, H. Wang, Z. Wang, Z. Pan and C.-C. J. Kuo, “Multiview coding mode decision with hybrid optimal stopping model,” IEEE Transactions on Image Processing, vol. 22, no. 4, pp. 1598-1609, Apr. 2013.
H. Yeganeh and Z. Wang, “Objective quality assessment of tone mapped images,” IEEE Transactions on Image Processing, vol. 22, no. 2, pp. 657-667, Feb. 2013.
2012
D. Brunet, J. Vass, E. R. Vrscay and Z. Wang, “Geodesics of the structural similarity index,” Applied Mathematics Letters, vol. 25, no. 11, pp. 1921-1925, Nov. 2012.
A. Rehman and Z. Wang, “Reduced-reference image quality assessment by structural similarity estimation,” IEEE Transactions on Image Processing, vol. 21, no. 8, pp. 3378-3389, Aug. 2012.
M. Rostami, O. Michailovich and Z. Wang, “Image deblurring using derivative compressed sensing for optical imaging applications,” IEEE Transactions on Image Processing, vol. 21, no. 7, pp. 3139-3149, July 2012.
D. Brunet, E. R. Vrscay and Z. Wang, “On the mathematical properties of the structural similarity index,” IEEE Transactions on Image Processing, vol. 21, no. 4, pp. 1488-1499, Apr. 2012.
K. Zeng and Z. Wang, “Polyview fusion: A strategy to enhance video denoising algorithms”, IEEE Transactions on Image Processing, vol. 21, no. 4, pp. 2324-2328, Apr. 2012.
S. Wang, A. Rehman, Z. Wang, S. Ma and W. Gao, “SSIM-motivated rate distortion optimization for video coding”, IEEE Transactions on Circuits and Systems for Video Technology, vol. 22, no. 4, pp. 516-529, Apr. 2012.
A. Rehman, M. Rostami, Z. Wang, D. Brunet and E. R. Vrscay, “SSIM-inspired image restoration using sparse representation,” EURASIP Journal on Advances in Signal Processing, special issue on Image and Video Quality Improvement Techniques for Emerging Applications, Jan. 2012.
2011
Z. Wang, “Applications of objective image quality assessment methods,” IEEE Signal Processing Magazine, vol. 28, Nov. 2011.
Z. Wang and A. C. Bovik, “Reduced- and no-reference image quality assessment: The natural scene statistic model approach,” IEEE Signal Processing Magazine, vol. 28, Nov. 2011.
Z. Wang and Q. Li, “Information content weighting for perceptual image quality assessment,” IEEE Transactions on Image Processing, vol. 20, no. 5, pp. 1185-1198, May 2011. [Web and code]
2010 and before
G. Varghese and Z. Wang, “Video denoising based on a spatiotemporal Gaussian scale mixture model,” IEEE Transactions on Circuit and Systems for Video Technology, vol. 20, no. 7, pp. 1032-1040, July 2010. [Web and code]
S. B. Kim, Z. Wang, and B. Hiremath, “A Bayesian approach for the alignment of high-resolution NMR spectra,” Annals of Operations Research, vol. 174, pp. 19-32, Feb. 2010.
Z. Wang and A. C. Bovik, “Mean squared error: love it or leave it? - A new look at signal fidelity measures,” IEEE Signal Processing Magazine, vol. 26, no. 1, pp. 98-117, Jan. 2009. [PPT Figures] [PDF Figures]
M. P. Sampat, Z. Wang, S. Gupta, A. C. Bovik and M. K. Markey, “Complex wavelet structural similarity: A new image similarity index,” IEEE Transactions on Image Processing, vol. 18, no. 11, pp. 2385-2401, Nov. 2009.
Q. Li and Z. Wang, “Reduced-reference image quality assessment using divisive normalization-based image representation,” IEEE Journal of Selected Topics in Signal Processing, Special issue on Visual Media Quality Assessment, vol. 3, no. 2, pp. 202-211, Apr. 2009.
Z. Wang and E. P. Simoncelli, “Maximum differentiation (MAD) competition: A methodology for comparing computational models of perceptual quantities,” Journal of Vision, vol. 8, no. 12, pp. 1-13, Sept. 2008. [Animation]
S. B. Kim, Z. Wang, S. Oraintara, C. Temiyasathit and Y. Wongsawat, “Feature selection and classification of high-resolution NMR spectra in the complex wavelet transform domain,” Chemometrics and Intelligent Laboratory Systems, vol. 90, no. 2, pp. 161-168, Feb. 2008.
Z. Wang and Q. Li, “Video quality assessment using a statistical model of human visual speed perception,” Journal of the Optical Society of America A, vol. 24, no. 12, pp. B61-B69, Dec. 2007.
Z. Wang, G. Wu, H. R. Sheikh, E. P. Simoncelli, E.-H. Yang and A. C. Bovik, “Quality-aware images,” IEEE Transactions on Image Processing, vol. 15, no. 6, pp. 1680-1689, June 2006.[Web and code]
Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli, “Image quality assessment: From error visibility to structural similarity,” IEEE Transactions on Image Processing, vol. 13, no. 4, Apr. 2004. [Web and code]
Z. Wang, L. Lu, and A. C. Bovik, “Video quality assessment based on structural distortion measurement,” Signal Processing: Image Communication, special issue on “Objective video quality metrics”, vol. 19, no. 2, pp. 121-132, Feb. 2004.
Z. Wang, L. Lu, and A. C. Bovik, “Foveation scalable video coding with automatic fixation selection,” IEEE Transactions on Image Processing, vol. 12, no. 2, Feb. 2003.
Z. Wang and A. C. Bovik, “Bitplane-by-bitplane shift (BdBShift) - A suggestion for JPEG 2000 region of interest coding,” IEEE Signal Processing Letters, vol. 9, no. 5, pp. 160-162, May 2002.
D. Zhang and Z. Wang, “Image information restoration based on long-range correlation,” IEEE Transactions on Circuit and System for Video Technology, vol. 12, no. 5, pp. 331-341, May 2002.
Z. Wang, and A. C. Bovik, “A universal image quality index,” IEEE Signal Processing Letters, vol. 9, no. 3, pp. 81-84, March 2002. [Web and code]
Z. Wang, and A. C. Bovik, “Embedded foveation image coding,” IEEE Transactions on Image Processing, vol. 10, no. 10, pp. 1397-1410, Oct. 2001. [Web]
Z. Wang, D. Zhang and Y. L. Yu, “Hybrid image coding based on partial fractal mapping,” Signal Processing: Image Communication, vol. 15, no. 9, pp. 767-779, July 2000.
Z. Wang and D. Zhang, “Progressive switching median filter for the removal of impulse noise from highly corrupted images,” IEEE Transactions on Circuit and System II: Analog and Digital Signal Processing, vol. 46, no. 1, pp. 78-80, Jan. 1999.
Z. Wang, Y. L. Yu and D. Zhang, “Best neighborhood matching - An information loss restoration technique for block based image coding systems,” IEEE Transactions on Image Processing, vol. 7, no. 7, pp. 1056-1061, July 1998.
Z. Wang and D. Zhang, “A novel approach for reduction of blocking effects in low bit rate image compression,” IEEE Transactions on Communications, vol. 46, no. 6, pp. 732-734, June 1998.
D. Zhang and Z. Wang, “Impulse noise removal using polynomial approximation,” Optical Engineering, vol. 37, no. 4, pp. 1275-1282, Apr. 1998. [Zipped Word, 2.4M]
Z. Wang and D. Zhang, “Restoration of impulse noise corrupted images using long-range correlation,” IEEE Signal Processing Letters, vol. 5, no. 1, pp. 4-6, Jan. 1998.
D. Zhang and Z. Wang, “Impulse noise detection and removal using fuzzy techniques,” IEE Electronics Letters, vol. 33, no. 5, pp. 378-379, Feb. 1997.
Conference Papers
2025
W. Yang, Z. Wang and Z. Wang, “Towards a Universal Image Degradation Model via Content-Degradation Disentanglement”, International Conference on Computer Vision (ICCV), Oct. 2025.
J. Chen, E. Rezk, W. Moursi and Z. Wang, “Leveraging image-to-text generators in multimodal vision transformers for inclusive skin cancer diagnosis: a comparative study”, IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), Atlanta, USA, Oct. 2025.
S. Tang, X. Xu and Z. Wang, “Controllable data generation with hierarchical neural representations”, International Conference on Machine Learning (ICML), Jul. 2025.
A. Shafiee Sarvestani, S. Tang and Z. Wang, “HybridMQA: Exploring Geometry-Texture Interactions for Colored Mesh Quality Assessment”, Computer Vision and Pattern Recognition (CVPR), Jun. 2025.
2024
B. Li, X. Xu, S. Tang, L. Yu and Z. Wang, “Human Perception-Guided Meta-training for Few-shot NeRF”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr. 2024.
X. Xu, J. Qiu, B. Yu, Z. Wang, “Visual Relationship Transformation”, European Conference on Computer Vision (ECCV), 2024.
Z. Wang, R. Zhou, S. Athar, Z. Wang, “Boosting Image Quality Assessment Performance: Unsupervised Score Fusion by Deep Maximum a Posteriori Estimation”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024.
A. Sarvestani, W. Zhou, Z. Wang, “Perceptual Crack Detection for Rendered 3D Textured Meshes”, International Workshop on Quality of Multimedia Experience (QoMEx), 2024.
2023
- W. Zhou and Z. Wang, “Blind omnidirectional image quality assessment: integrating local statistics ad global semantics”, IEEE International Conference on Image Processing (ICIP), Sept. 2023.
2022
X. Xu, J. Qiu, X. Wang, Z. Wang, “Relationship Spatialization for Depth Estimation”, European Conference on Computer Vision (ECCV), 2022. [Project page]
R. Zhou, S. Athar, Z. Wang, Z. Wang, “Deep Image Debanding”, IEEE International Conference on Image Processing (ICIP), 2022. [Project page] [Dataset page]
W. Zhou and Z. Wang, “Quality assessment for image super-resolution: balancing deterministic and statistical fidelity”, ACM Multimedia, Lisbon, Portugal, Oct. 2022.
2021
S. Tang, M. Hosseini, L. Chen, S. Varma, C. Rowsell, S. Damaskinos, K. Plataniotis, Z. Wang, “Probeable darts with application to computational pathology”, Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, 2021.
Z. Li, R. Hassen and Z. Wang, “Autoencoder for vibrotactile signal compression”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Jun. 2021.
2020
- Z. Wang, M. Hosseini, A. Miles, K. Plataniotis, Z. Wang, “FocusLiteNN: High Efficiency Focus Quality Assessment for Digital Pathology”, Medical Image Computing and Computer Assisted Intervention (MICCAI), 2020. [Project page] [Dataset page]
2019
N. Nikvand, Z. Wang, W. Farjow, X. Fernando and S. Younes Sadat-Nejad, “Perceptually inspired normalized conditional compression distance,” IEEE Asilomar Conference on Signals, Systems and Computers, Asilomar, CA, Nov. 2019.
H. Su, Z. Duanmu, W. Liu, Q. Liu and Z. Wang, “Perceptual quality assessment of 3D point clouds,” IEEE International Conference on Image Processing, Taipei, Sept. 2019.
S. Athar, T. Costa, K. Zeng and Z. Wang, “Perceptual quality assessment of UHD-HDR-WCG videos,” IEEE International Conference on Image Processing (Top 10% award), Taipei, Sept. 2019.
Y. Cheng, J. Yan and Z. Wang, “Enhancement of weakly illuminated images by deep fusion networks,” IEEE International Conference on Image Processing, Taipei, Sept. 2019.
Z. Li, Z. Duanmu, W. Liu, Z. Wang, “AVC, HEVC, VP9, AVS2 or AV1? — A Comparative Study of State-of-the-art Video Encoders on 4K Videos”, 16th International Conference on Image Analysis and Recognition, Waterloo, Ontario, Canada, August 27-29, 2019. [Database page]
Z. Wang, S. Athar, Z. Wang, “Blind Quality Assessment of Multiply Distorted Images Using Deep Neural Networks”, 16th International Conference on Image Analysis and Recognition, Waterloo, Ontario, Canada, August 27-29, 2019. [Project page]
2018
W. Liu, Z. Duanmu and Z. Wang, “End-to-end blind quality assessment of compressed videos using deep neural networks,” ACM Multimedia, (27.5% acceptance rate), Seoul, South Korea, Oct. 2018.
R. Mohammadi Nasiri, Z. Duanmu, and Z. Wang, “Temporal motion smoothness and the impact of frame rate variation on video quality,” IEEE International Conference on Image Processing, Athens, Greece, Oct. 2018.
N. Nikvand, Z. Wang, X. Fernando, and W. Farjow, “Information distance based Photoshop metric,” IEEE Asilomar Conference on Signals, Systems and Computers, Asilomar, CA, Oct. 2018.
S. Chen, Y. Zhang, Y. Li, Z. Chen and Z. Wang, “Structural similarity index for objective omnidirectional video quality assessment,” IEEE International Conference on Multimedia & Expo, San Diego, CA, USA, July 2018.
K. Ma, Z. Duanmu and Z. Wang, “Geometric transformation invariant image quality assessment using convolutional neural networks,” IEEE International Conference on Acoustics, Speech, & Signal Processing, pp. 6732-6736, Calgary, Canada, Apr. 2018.
2017
Z. Duanmu, K. Ma and Z. Wang, “Quality-of-experience of adaptive video streaming: exploring the space of adaptations,” ACM Multimedia, (28% acceptance rate), Mountain View, CA, Oct. 2017.
Z. Wang and A. Rehman, “Begin with the end in mind: a unified end-to-end quality-of-experience monitoring, optimization and management framework,” Society of Motion Picture & Television Engineers (SMPTE) Annual Technical Conference & Exhibition, Hollywood, CA, Oct. 2017.
R. Mohammadi Nasiri and Z. Wang, “Perceptual aliasing factors and the impact of frame rate on video quality,” IEEE International Conference on Image Processing, Beijing, China, Sept. 2017.
S. Athar, A. Rehman and Z. Wang, “Quality assessment of images undergoing multiple distortions stages,” IEEE International Conference on Image Processing, Beijing, China, Sept. 2017.
W. Liu and Z. Wang, “A database for perceptual evaluation of image aesthetics,“ IEEE International Conference on Image Processing, Beijing, China, Sept. 2017.
Y. Fang, H. Zhu, K. Ma and Z. Wang, “Perceptual quality assessment of HDR deghosting algorithms,” IEEE International Conference on Image Processing, Beijing, China, Sept. 2017.
J. Wang, S. Wang, K. Zeng and Z. Wang, “Quality assessment of multi-view-plus-depth images,” IEEE International Conference on Multimedia and Expo, HongKong, China, Jul. 2017.
Z. Duanmu, K. Zeng, Z. Wang and M. Eisapour, “Perceptual evaluation of psychovisual rate-distortion enhancement in video coding,” IS&T Electronic Imaging: Human Vision and Electronic Imaging, Burlingame, CA, Jan. 2017.
J. Wang, Q. Wu, A. Rehman, S. Wang, and Z. Wang, “Blind quality prediction of stereoscopic 3D images,” IS&T Electronic Imaging: Human Vision and Electronic Imaging, Burlingame, CA, Jan. 2017.
2016
H. Yeganeh, S. Wang, K. Zeng, M. Eisapour and Z. Wang, “Objective quality assessment of tone-mapped videos,” IEEE International Conference on Image Processing, Phoenix, AZ, Sept. 2016.
K. Zeng, H. Yeganeh and Z. Wang, “Quality-of-experience of streaming video: interactions between presentation quality and playback stalling,” IEEE International Conference on Image Processing, Phoenix, AZ, Sept. 2016.
Z. Duanmu, A. Rehman, K. Zeng and Z. Wang, “Quality-of-experience prediction for streaming video,” IEEE International Conference on Multimedia and Expo, (15% acceptance rate), Seattle, WA, Jul. 2016.
K. Ma, Q. Wu, Z. Duanmu, Z. Wang, H. Yong, L. Zhang and H. Li, “Group MAD competition - A new methodology to compare objective image quality models,” IEEE International Conference on Computer Vision and Pattern Recognition, (9.7% acceptance rate), Las Vegas, NV, Jun. 2016.
Z. Wang, “Objective image quality assessment: facing the real-world challenges,” IS&T Electronic Imaging: Image Quality and System Performance (invited keynote paper), San Francisco, CA, Feb. 2016.
2015
J. Wang, S. Wang and Z. Wang, “Depth perception of distorted stereoscopic images,” IEEE International Workshop on Multimedia Signal Processing (Top 10% award), Oct. 2015.
S. Wang, A Rehman, K. Zeng and Z. Wang, “SSIM-inspired two-pass rate control for high efficiency video coding,” IEEE International Workshop on Multimedia Signal Processing, Oct. 2015.
R. Mohammadi Nasiri, J. Wang, A. Rehman, S. Wang and Z. Wang, “Perceptual quality assessment of high frame rate,” IEEE International Workshop on Multimedia Signal Processing, Oct. 2015.
K. Ma and Z. Wang, “Multi-exposure image fusion: A patch-wise approach,” IEEE International Conference on Image Processing (Top 10% award), Sept. 2015.
Q. Wu and Z. Wang, “A highly efficient method for blind image quality assessment,” IEEE International Conference on Image Processing (Top 10% award), Sept. 2015.
J. Wang, S. Wang and Z. Wang, “Quality prediction of asymmetrically compressed stereoscopic videos,” IEEE International Conference on Image Processing, Sept. 2015.
S. Wang, K. Gu, K. Zeng, Z. Wang and W. Lin, “Perceptual screen content image quality assessment and compression,” IEEE International Conference on Image Processing, Sept. 2015.
K. Ma, W. Liu and Z. Wang, “Perceptual evaluation of single image dehazing algorithms,” IEEE International Conference on Image Processing, Sept. 2015.
S. Athar, H. Yeganeh and Z. Wang, “Data rate and dynamic range compression of medical images: which one goes first?” IEEE International Conference on Image Processing, Sept. 2015.
K. Zeng and Z. Wang, “Perceptual quality assessment of denoised images,” IEEE International Conference on Image Processing, Sept. 2015.
Z. Wang, K. Zeng, A. Rehman, H. Yeganeh, and S. Wang, “Objective video presentation QoE predictor for smart adaptive video streaming”, (invited paper), SPIE Applications of Digital Image Processing XXXVIII, San Diego, CA, Aug. 2015.
I. A. Kowalik-Urbaniak, J. Castelli, N. Hemmati, D. Koff, N. Smolarski-Koff, E. R. Vrscay, J. Wang and Z. Wang, “Modelling of subjective radiological assessments with objective image quality measures of brain and body CT images,” International Conference on Image Analysis and Recognition, Niagara Falls, Canada, Jul. 2015.
A. Rehman, K. Zeng and Z. Wang, “Display device-adapted video quality-of-experience assessment,” IS&T/SPIE Electronic Imaging: Human Vision and Electronic Imaging, San Francisco, CA, Feb. 2015.
2014
V. Bruni, D. Vitulano and Z. Wang, “Luminance-contrast dependency based spatial pooling for image quality assessment,” European Workshop on Visual Information Processing, Paris, France, Dec. 2014.
I. A. Kowalik-Urbaniak, D. La Torre, E. R. Vrscay and Z. Wang, “Some Weberized L2-based methods of signal/image approximation,” International Conference on Image Analysis and Recognition, Vilamoura, Algarve, Portugal, Oct. 2014.
K. Zeng, K. Ma, R. Hassen, and Z. Wang, “Perceptual evaluation of multi-exposure image fusion algorithms,” International Workshop on Quality of Multimedia Experience, Singapore, Sep. 2014.
H. Yang, Y. Fang, W. Lin and Z. Wang, “Subjective quality assessment of screen content images,” International Workshop on Quality of Multimedia Experience, Singapore, Sep. 2014.
J. Wang, K. Zeng and Z. Wang, “Quality prediction of asymmetrically distorted stereoscopic images from single views,” IEEE International Conference on Multimedia and Expo (oral presentation, 13.7% acceptance rate), Chengdu, China, July 2014.
K. Ma, H. Yeganeh, K. Zeng and Z. Wang, “High dynamic range image tone mapping by maximizing tone mapped image quality index,” IEEE International Conference on Multimedia and Expo (oral presentation, 13.7% acceptance rate), Chengdu, China, July 2014.
Y. Fang, W. Lin, Z. Wang, Z. Fang, L. Xu, “Multi-operator retargeting based on perceptual structural similarity,” IEEE China Summit & International Conference on Signal and Information Processing, Xi’An, China, July 2014.
N. Nikvand, H. Yeganeh, and Z. Wang, “Adaptive Windowing for Optimal Visualization of Medical Images Based on Normalized Information Distance,” IEEE International Conference on Acoustics, Speech, & Signal Processing, Florence, Italy, May 2014.
K. Zeng, T. Zhao, A. Rehman and Z. Wang, “Characterizing perceptual artifacts in compressed video streams,” IS&T/SPIE Human Vision and Electronic Imaging XIX (invited paper), San Francisco, CA, Feb. 2014.
I. Kowalik-Urbaniak, D. Brunet, J. Wang, E. R. Vrscay, Z. Wang, D. A. Koff, N. Koff, and B. Wallace, “The quest for ‘diagnostically lossless’ medical image compression: a comparative study of objective quality metrics for compressed medical images,” SPIE Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (Honorable Mention Poster Award), San Diego, CA, Feb. 2014.
J. Wang and Z. Wang, “Perceptual quality of asymmetrically distorted stereoscopic images: the role of image distortion types,” International Workshop on Video Processing and Quality Metrics for Consumer Electronics (invited paper), Scottsdale, AZ, Jan.-Feb. 2014.
2013
K. Zeng and Z. Wang, “Perceptual evaluation of image denoising algorithms,” IEEE Asilomar Conference on Signals, Systems and Computers (invited paper), Nov. 2013.
T. Zhao, K. Zeng, A. Rehman and Z. Wang, “On the use of SSIM in HEVC,” IEEE Asilomar Conference on Signals, Systems and Computers (invited paper), Nov. 2013.
Y. Fang, Z. Wang and W. Lin, “Video saliency incorporating spatiotemporal cues and uncertainty weighting,” IEEE International Conference on Multimedia and Expo (oral presentation, 12.7% acceptance rate), San Jose, CA, July 2013.
A. Rehman and Z. Wang, “Perceptual experience of time-varying video quality,” International Workshop on Quality of Multimedia Experience, Klagenfurt, Austria, July 2013.
H. Yeganeh and Z. Wang, “High dynamic range image tone mapping by maximizing a structural fidelity measure”, IEEE International Conference on Acoustics, Speech, & Signal Processing, Vancouver, May 2013.
K. Zeng, A. Rehman, J. Wang and Z. Wang, “From H.264 to HEVC: Coding gain predicted by objective video quality assessment models,” International Workshop on Video Processing and Quality Metrics for Consumer Electronics (invited paper), Scottsdale, AZ, Jan.-Feb. 2013.
2012
K. Zeng and Z. Wang, “3D-SSIM for video quality assessment,” IEEE International Conference on Image Processing, Orlando, FL, Sept. 2012.
H. Yeganeh, M. Rostami and Z. Wang, “Objective quality assessment for image super-resolution: a natural scene statistics approach,” IEEE International Conference on Image Processing, Orlando, FL, Sept. 2012.
M. Rostami, O. Michailovich and Z. Wang, “Gradient-based surface reconstruction using compressed sensing,” IEEE International Conference on Image Processing, Orlando, FL, Sept. 2012.
A. Rehman and Z. Wang, “SSIM-inspired perceptual video coding for HEVC,” IEEE International Conference on Multimedia and Expo (oral presentation, 14% acceptance rate), Melbourne, Australia, July 2012.
H. Yeganeh, Z. Wang and E. R. Vrscay, “Adaptive windowing for optimal visualization of medical images based on structural fidelity measure,” International Conference on Image Analysis and Recognition, Aveiro, Portugal, June 2012.
I. Kowalik-Urbaniak, E. R. Vrscay, Z. Wang, C. Cavaro-Menard, D. A. Koff, B. Wallace and B. Obara “The impact of skull bone intensity on the quality of compressed CT neuro images,” SPIE Medical Imaging, San Diego, CA, Feb. 2012.
2011
M. Rostami and Z. Wang, “Image super-resolution based on sparsity prior via smoothed l0 norm,” Symposium on Advanced Intelligent Systems, Waterloo, Dec. 2011.
A. Rehman and Z. Wang, “SSIM-based non local means image denoising”, IEEE International Conference on Image Processing, Brussels, Belgium, Sept. 2011.
Y. Gao, A. Rehman and Z. Wang, “CW-SSIM based image classification”, IEEE International Conference on Image Processing, Brussels, Belgium, Sept. 2011.
S. Wang, A. Rehman, Z. Wang, S. Ma and W. Gao, “SSIM-inspired divisive normalization for perceptual video coding”, IEEE International Conference on Image Processing, Brussels, Belgium, Sept. 2011.
W. Wang, J. Zhao, W. J. Tam, F. Speranza and Z. Wang, “Hiding depth map into stereo image in JPEG format using reversible watermarking”, ACM International Conference on Internet Multimedia Computing and Service, Chengdu, China, Aug. 2011.
N. Nikvand and Z. Wang, “Perceptual normalized information distance for image distortion analysis based on Kolmogorov complexity”, International Conference on Applied Mathematics, Modeling and Computational Science (AMMCS), Waterloo, ON, Canada, July 25-29, 2011.
K. Zeng and Z. Wang, “Enhancing video denoising algorithms by fusion from multiple views,” International Conference on Image Analysis and Recognition, Burnaby, BC, Canada, June 2011.
D. Brunet, E. R. Vrscay and Z. Wang, “A class of image metrics based on the structural similarity quality index,” International Conference on Image Analysis and Recognition, Burnaby, BC, Canada, June 2011.
D. Brunet, E. R. Vrscay and Z. Wang, “Structural similarity-based affine approximation and self-similarity of images revisited,” International Conference on Image Analysis and Recognition, Burnaby, BC, Canada, June 2011.
H. Yeganeh and Z. Wang, “Structural fidelity vs. naturalness - objective assessment of tone mapped images,” International Conference on Image Analysis and Recognition, Burnaby, BC, Canada, June 2011.
R. Hassen, Z. Wang and M. Salama, “A flexible framework for local phase coherence computation,” International Conference on Image Analysis and Recognition, Burnaby, BC, Canada, June 2011.
A. Rehman, Z. Wang, D. Brunet and E. R. Vrscay, “SSIM-inspired image denoising using sparse representations”, IEEE International Conference on Acoustics, Speech, & Signal Processing, Prague, Czech, May 22-27, 2011.
S. Wang, A. Rehman, Z. Wang S. Ma and W. Gao, “Rate-SSIM optimization for video coding”, IEEE International Conference on Acoustics, Speech, & Signal Processing, Prague, Czech, May 22-27, 2011.
2010 and before
H. Yeganeh and Z. Wang, “Objective Assessment of Tone Mapping Algorithms”, IEEE International Conference on Image Processing, Hong Kong, China, Sept. 26-29, 2010.
N. Nikvand and Z. Wang, “Generic Image Similarity Based on Kolmogorov Complexity”, IEEE International Conference on Image Processing, Hong Kong, China, Sept. 26-29, 2010.
A. Rehman and Z. Wang, “Reduced-Reference SSIM estimation”, IEEE International Conference on Image Processing, Hong Kong, China, Sept. 26-29, 2010.
K. Zeng and Z. Wang, “Quality-aware video based on robust embedding of intra- and inter-frame reduced-reference features”, IEEE International Conference on Image Processing, Hong Kong, China, Sept. 26-29, 2010.
D. Brunet, E. R. Vrscay and Z. Wang, “Structural similarity-based approximation of signals and images using orthogonal bases,” International Conference on Image Analysis and Recognition, Povoa de Varzim, Portugal, June 21-23, 2010.
G. Fan, Z. Wang and J. Wang, “CW-SSIM kernel based random forest for image classification,” Visual Communications and Image Processing, Huang Shan, An Hui, China, July 11-14, 2010.
G. Fan, Z. Wang, S. B. Kim and C. Temiyasathit, “Classification of high-resolution NMR spectra based on complex wavelet domain feature selection and kernel-induced random forest,” International Conference on Image and Signal Processing, Proc. of Lecture Notes in Computer Science, vol. 6134, pp. 593-600, Trois-Rivieres, QC, Canada, June 30 - July 2, 2010.
U. Rajashekar, Z. Wang and E. P. Simoncelli, “Perceptual quality assessment of color images using adaptive signal representation,” Human Vision and Electronic Imaging XV, Proc. SPIE, vol. 7527, Jan. 18-21, 2010.
K. Zeng and Z. Wang, “Temporal motion smoothness measurement for reduced-reference video quality assessment,” IEEE International Conference on Acoustics, Speech, & Signal Processing, Dallas, TX, Mar. 14-19, 2010.
R. Hassen, Z. Wang and M. Salama, “No-reference image sharpness assessment based on local phase coherence measurement,” IEEE International Conference on Acoustics, Speech, & Signal Processing, Dallas, TX, Mar. 14-19, 2010.
U. Rajashekar, Z. Wang and E. P. Simoncelli, “Quantifying color image disortions based on adaptive spatio-chromatic signal decompositions,” IEEE International Conference on Image Processing, Cairo, Egypt, Nov. 7-11, 2009.
R. Hassen, Z. Wang and M. Salama, “Multi-sensor image registration based-on local phase coherence,” IEEE International Conference on Image Processing, Cairo, Egypt, Nov. 7-11, 2009.
R. Hassen, Z. Wang and M. Salama, “Multifocus image fusion using local phase coherence measurement,” International Conference on Image Analysis and Recognition, Halifax, Canada, July 6-8, 2009.]
D. Brunet, E. R. Vrscay and Z. Wang, “The use of residuals in image denoising,” International Conference on Image Analysis and Recognition, Halifax, Canada, July 6-8, 2009.
Z. Wang and Q. Li, “Statistics of natural image sequences: temporal motion smoothness by local phase correlations,” Human Vision and Electronic Imaging XIV, Proc. SPIE, vol. 7240, Jan. 19-22, 2009.
Q. Li and Z. Wang, “General-purpose reduced-reference image quality assessment based on perceptually and statistically motivated image representation,” IEEE International Conference on Image Processing (IBM Student Paper Award), San Diego, CA, Oct. 12-15, 2008.
R. M. Figueras I Ventura, U. Rajashekar, Z. Wang and E. P. Simoncelli, “Contextually adaptive signal representation using conditional principle component analysis,” IEEE International Conference on Acoustics, Speech, & Signal Processing, Las Vegas, Nevada, Mar. 30 - Apr. 4, 2008.
G. Varghese and Z. Wang, “Video denoising using a spatiotemporal statistical model of wavelet coefficients,” IEEE International Conference on Acoustics, Speech, & Signal Processing, Las Vegas, Nevada, Mar. 30 - Apr. 4, 2008.
Z. Wang, Q. Li and X. Shang, “Perceptual image coding based on a maximum of minimal structural similarity criterion,” IEEE International Conference on Image Processing, San Antonio, TX, Sept. 16-19, 2007.
Q. Li and Z. Wang, “Video quality assessment by incorporating a motion perception model,” IEEE International Conference on Image Processing, San Antonio, TX, Sept. 16-19, 2007.
B. Hiremath, Q. Li and Z. Wang, “Quality-aware video,” IEEE International Conference on Image Processing, San Antonio, TX, Sept. 16-19, 2007.
L. Zhang, Z. Guo, Z. Wang and D. Zhang, “Palmprint verification using complex wavelet transform,” IEEE International Conference on Image Processing, San Antonio, TX, Sept. 16-19, 2007.
S. Gupta, M. P. Sampat, Z. Wang, M. K. Markey and A. C. Bovik, “Facial range image matching using the complex wavelet structural similarity metric,” IEEE Workshop on Applications of Computer Vision, Austin, TX, Feb. 21-22, 2007.
S. B. Kim, Z. Wang, and C. M. Duran. “A Bayesian approach for the alignment of high-resolution NMR spectra,” INFORMS Artificial Intelligence and Data Mining Workshop, Pittsburgh, PA, Nov. 2006.
M. P. Sampat, Z. Wang, M. K. Markey, G. J. Whitman, T. W. Stephens and A. C. Bovik, “Measuring intra- and inter-observer agreement in identifying and localizing structures in medical images,” IEEE International Conference on Image Processing, Atlanta, GA, Oct. 8-11, 2006.
Z. Wang and X. Shang, “Spatial pooling strategies for perceptual image quality assessment,” IEEE International Conference on Image Processing, Atlanta, GA, Oct. 8-11, 2006.
Z. Wang and S. B. Kim, “Automatic alignment of high-resolution NMR spectra using a Bayesian estimation approach,” IEEE International Conference on Pattern Recognition, Hong Kong, China, Aug. 20-24, 2006.
Z. Wang and E. P. Simoncelli, “An adaptive linear system framework for image distortion analysis,” IEEE International Conference on Image Processing, Genoa, Italy, Sept. 11-14, 2005.
Z. Wang and E. P. Simoncelli, “Translation insensitive image similarity in complex wavelet domain,” IEEE International Conference on Acoustics, Speech, & Signal Processing, vol. II, pp. 573-576, Philadelphia, PA, March 2005.
Z. Wang and E. P. Simoncelli, “Reduced-reference image quality assessment using a wavelet-domain natural image statistic model,” Human Vision and Electronic Imaging X, Proc. SPIE, vol. 5666, San Jose, CA, Jan. 2005. [Web and code]
Z. Wang and E. P. Simoncelli, “Local phase coherence and the perception of blur,” Adv. Neural Information Processing Systems (oral presentation in NIPS 2003, 3.6% acceptance rate), vol. 16, MIT Press, May 2004.
Z. Wang and E. P. Simoncelli, “Stimulus synthesis for efficient evaluation and refinement of perceptual image quality metrics,” Human Vision and Electronic Imaging IX, Proc. SPIE, vol. 5292, Jan. 2004.
Z. Wang, E. P. Simoncelli and A. C. Bovik, “Multi-scale structural similarity for image quality assessment,” IEEE Asilomar Conference on Signals, Systems and Computers (invited paper), Nov. 2003. [Web and code]
H. R. Sheikh, Z. Wang, L. Cormack and A. C. Bovik, “Blind quality assessment for JPEG2000 compressed images,” IEEE Asilomar Conference on Signals, Systems and Computers, Nov. 2002.
Z. Wang, L. Lu and A. C. Bovik, “Video quality assessment using structural distortion measurement,” IEEE International Conference on Image Processing, Sept. 2002.
Z. Wang, S. Banerjee, B. L. Evans and A. C. Bovik, “Generalized bitplane-by-bitplane shift method for JPEG2000 ROI coding,” IEEE International Conference on Image Processing, Sept. 2002. [Web]
Z. Wang, H. R. Sheikh and A. C. Bovik, “No-reference perceptual quality assessment of JPEG compressed images,” IEEE International Conference on Image Processing, Sept. 2002. [Web and code]
L. Lu, Z. Wang, J. Kouloheris and A. C. Bovik, “Human-visual-system-based scalable video coding and communications,” Proc. SPIE, vol. 4925, Electronic Imaging and Multimedia Technology III, pp. 219-228, Sep. 2002.
L. Lu, Z. Wang, A. C. Bovik and J. Kouloheris, “Full-reference video quality assessment considering structural distortion and no-reference quality evaluation of MPEG video,” IEEE International Conference on Multimedia and Expo, Aug. 2002.
Z. Wang, A. C. Bovik and L. Lu, “Why is image quality assessment so difficult?” IEEE International Conference on Acoustics, Speech, & Signal Processing, May 2002.
H. R. Sheikh, S. Liu, Z. Wang, and A. C. Bovik, “Foveated multi-point video conferencing at low bit rate,” IEEE International Conf. on Acustics, Speech & Signal Processing, May 2002.
Z. Wang, A. C. Bovik, and L. Lu, “Wavelet-based foveated image quality measurement for region of interest image coding,” IEEE International Conference on Image Processing, Oct. 2001.
L. Lu, Z. Wang, and A. C. Bovik, “Adaptive frame prediction for foveation scalable video coding,” IEEE International Conference on Multimedia and Expo, Aug. 2001.
Z. Wang, A. C. Bovik, L. Lu and J. Kouloheris, “Foveated wavelet image quality index,” SPIE 46th Annual Meeting, Proc. SPIE, Application of Digital Image Processing XXIV, vol. 4472, July-Aug. 2001. [Word, 1.7M]
Z. Wang, L. Lu, and A. C. Bovik, “Rate scalable video coding using a foveation-based human visual system model,” IEEE International Conference on Acoustics, Speech, & Signal Processing, vol. III, pp. 1785-1789, May 2001.
Z. Wang, A. C. Bovik, and B. L. Evans, “Blind measurement of blocking artifacts in images,” IEEE International Conference on Image Processing, vol. 3, pp. 981-984, Sept. 2000.
Z. Wang, A. C. Bovik, “A human visual system-based objective video quality assessment system,” International Conference on Multimedia Processing and Systems, Aug. 2000.
F. Yang, Z. Wang and Y. L. Yu, “Chinese typeface generation and composition using B-spline wavelet transform,” Proc. of SPIE, vol. 3391, Wavelet Applications IV, pp. 616-620, Orlando, Apr. 1998.
Z. Wang and Y. L. Yu, “A fractal-based hybrid image coding system,” IEEE International Conference on System, Man & Cybernetics, vol. 1, pp. 461-465, Oct. 1996.
Z. Wang and Y. L. Yu, “Partial iterated function system-based fractal image coding,” Proc. SPIE, vol. 2751, Hybrid Image and Signal Processing V, pp. 42-49, June 1996.
Z. Wang and Y. L. Yu, “An adaptive filtering interpolator using neural networks,” IEEE International Conference on System, Man & Cybernetics, vol. 2, pp. 1671-1675, Oct. 1995.
Preprints
M. Naseri, J. Qiu, Z. Wang, “Generated Contents Enrichment”, arXiv, 2024.
Z. Wang, S. Athar, Z. Wang, “Deep neural networks for blind image quality assessment: addressing the data challenge”, arXiv, 2021.
A. Miles, M. Hosseini, S. Tang, Z. Wang, S. Damaskinos, K. Plataniotis, “Transferability of Deep Learning Models for Focus Quality Assessment in Digital Pathology”, preprint, 2021.