Research Table of contents
Image signal processing, coding and quality assessment
IQA
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.
R. Zhou, S. Athar, Z. Wang, Z. Wang, “Deep Image Debanding” , IEEE International Conference on Image Processing (ICIP) , 2022. [Project page] [Dataset page]
Z. Wang, S. Athar, Z. Wang, “Deep neural networks for blind image quality assessment: addressing the data challenge” , arXiv , 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]
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]
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]
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 , to appear 2019.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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, 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.
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.
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.
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.
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.
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.
K. Zeng and Z. Wang, “Perceptual quality assessment of denoised images,” IEEE International Conference on Image Processing , Sept. 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.
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.
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.
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.
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.
Other ISP
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.
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.
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.
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.
W. Liu and Z. Wang, “A database for perceptual evaluation of image aesthetics, “ IEEE International Conference on Image Processing , Beijing, China, Sept. 2017.
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.
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.
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.
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. Ma and Z. Wang, “Multi-exposure image fusion: A patch-wise approach,” IEEE International Conference on Image Processing (Top 10% award), Sept. 2015.
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. 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.
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.
Video signal processing, coding and quality assessment
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
J. Wang, S. Wang and Z. Wang, “Quality prediction of asymmetrically compressed stereoscopic videos,” IEEE International Conference on Image Processing , Sept. 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.
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.
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.
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 , to appear 2019.
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.
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.
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.
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.
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.
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.
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.
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.
Others
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