Zhou Wang, PhD, PEng, FIEEE

Associate Professor

Dept. of Electrical & Computer Engineering

University of Waterloo

Office: E5-5113

Phone: (519)888-4567 ext. 35301

Fax: (519)746-3077

Email: Z.Wang@ece.uwaterloo.ca

Mailing Address:

Dept. of ECE, Univ. of Waterloo

200 University Ave. W.

Waterloo, ON N2L 3G1, Canada

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Index

·         Book

·         Journal Papers

·         Conference Papers

·         Book Chapters

·         Editorials and Views


Book

1.      Z. Wang and A. C. Bovik, Modern Image Quality Assessment, in syntheses lectures on Image, Video and Multimedia Processing, Morgan & Claypool Publishers, Mar. 2006. [Paper Edition]


Journal Papers

1.      Y. Fang, K. Zeng, Z. Wang, W. Lin, Z. Fang, and C.-W. Lin, “Objective quality assessment for image retargeting based on structural similarityIEEE Journal on Emerging and Selected Topics in Circuits and Systems, special issue on Content-Aware Visual Systems: Analysis Streaming and Retargeting, accepted, to appear 2014.

2.      T. Zhao, Z. Wang and S. Kwong, “Flexible mode selection and complexity allocation in high efficiency video codingIEEE Journal of Selected Topics in Signal Processing, special issue on Video Coding: HEVC and Beyond, vol. 7, no. 6, pp.1135-1144, Dec. 2013.

3.      A. Rehman, Y. Gao, J. Wang and Z. Wang, “Image classification based on complex wavelet structural similaritySignal Processing: Image Communication, special issue on Biologically Inspired Approaches for Visual Information Processing and Analysis, vol. 28, no. 8, pp. 984-992, Sep. 2013.

4.      R. Hassen, Z. Wang and M. Salama, “Image sharpness assessment based on local phase coherenceIEEE Transactions on Image Processing, vol. 22, no. 7, pp. 2798-2810, July 2013.

5.      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.

6.      S. Wang, A. Rehman, Z. Wang, S. Ma and W. Gao, “SSIM-inspired divisive normalization for perceptual video codingIEEE Transactions on Image Processing, vol. 22, no. 4, pp. 1418-1429, Apr. 2013.

7.      T. Zhao, S. Kwong, H. Wang, Z. Wang, Z. Pan and C.-C. J. Kuo, “Multiview coding mode decision with hybrid optimal stopping modelIEEE Transactions on Image Processing, vol. 22, no. 4, pp. 1598-1609, Apr. 2013.

8.      H. Yeganeh and Z. Wang, “Objective quality assessment of tone mapped imagesIEEE Transactions on Image Processing, vol. 22, no. 2, pp. 657-667, Feb. 2013.

9.      D. Brunet, J. Vass, E. R. Vrscay and Z. Wang, “Geodesics of the structural similarity indexApplied Mathematics Letters, vol. 25, no. 11, pp. 1921-1925, Nov. 2012. [PDF]

10.  A. Rehman and Z. Wang, “Reduced-reference image quality assessment by structural similarity estimationIEEE Transactions on Image Processing, vol. 21, no. 8, pp. 3378-3389, Aug. 2012. [PDF]

11.  M. Rostami, O. Michailovich and Z. Wang, “Image deblurring using derivative compressed sensing for optical imaging applicationsIEEE Transactions on Image Processing, vol. 21, no. 7, pp. 3139-3149, July 2012. [PDF]

12.  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. [PDF]

13.  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. [PDF]

14.  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. [PDF]

15.  A. Rehman, M. Rostami, Z. Wang, D. Brunet and E. R. Vrscay, “SSIM-inspired image restoration using sparse representationEURASIP Journal on Advances in Signal Processing, special issue on Image and Video Quality Improvement Techniques for Emerging Applications, Jan. 2012. [PDF]

16.  Z. Wang, “Applications of objective image quality assessment methodsIEEE Signal Processing Magazine, vol. 28, Nov. 2011. [PDF, 907K]

17.  Z. Wang and A. C. Bovik, “Reduced- and no-reference image quality assessment: The natural scene statistic model approachIEEE Signal Processing Magazine, vol. 28, Nov. 2011. [PDF, 1.50M]

18.  Z. Wang and Q. Li, “Information content weighting for perceptual image quality assessmentIEEE Transactions on Image Processing, vol. 20, no. 5, pp. 1185-1198, May 2011. [PDF] [Web and code]

19.  G. Varghese and Z. Wang, “Video denoising based on a spatiotemporal Gaussian scale mixture modelIEEE Transactions on Circuit and Systems for Video Technology, vol. 20, no. 7, pp. 1032-1040, July 2010. [PDF, 530K] [Web and code]

20.  S. B. Kim, Z. Wang, and B. Hiremath, “A Bayesian approach for the alignment of high-resolution NMR spectraAnnals of Operations Research, vol. 174, pp. 19-32, Feb. 2010. [PDF, 547K]

21.  Z. Wang and A. C. Bovik, “Mean squared error: love it or leave it? - A new look at signal fidelity measuresIEEE Signal Processing Magazine, vol. 26, no. 1, pp. 98-117, Jan. 2009. [PDF, 6.05M] [PPT Figures, 2.36M] [PDF Figures, 1.94M]

22.  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. [PDF, 3.2M]

23.  Q. Li and Z. Wang, "Reduced-reference image quality assessment using divisive normalization-based image representationIEEE Journal of Selected Topics in Signal Processing, Special issue on Visual Media Quality Assessment, vol. 3, no. 2, pp. 202-211, Apr. 2009. [PDF, 884K]

24.  Z. Wang and E. P. Simoncelli, “Maximum differentiation (MAD) competition: A methodology for comparing computational models of perceptual quantitiesJournal of Vision, vol. 8, no. 12, pp. 1-13, Sept. 2008. [PDF, 980K][Animation]

25.  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 domainChemometrics and Intelligent Laboratory Systems, vol. 90, no. 2, pp. 161-168, Feb. 2008. [PDF, 506K]

26.  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. [PDF, 855K]

27.  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. [PDF, 1.26M] [Web and code]

28.  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. [PDF, 1.6M] [Web and code]

29.  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. [PDF, 810K]

30.  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. [PDF, 1.0M]

31.  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. [PDF, 910K]

32.  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. [PDF, 452K]

33.  Z. Wang, and A. C. Bovik, "A universal image quality index," IEEE Signal Processing Letters, vol. 9, no. 3, pp. 81-84, March 2002. [PDF, 1.4M] [Web and code]

34.  Z. Wang, and A. C. Bovik, "Embedded foveation image coding," IEEE Transactions on Image Processing, vol. 10, no. 10, pp. 1397-1410, Oct. 2001. [PDF, 345K] [Web]

35.  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. [PDF, 763K]

36.  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. [PDF, 357K]

37.  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. [PDF, 241K]

38.  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. [PDF, 96K]

39.  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] [PDF, 663K]

40.  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. [PDF, 123K]

41.  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. [PDF, 434K]


Conference Papers

1.      N. Nikvand, H. Yeganeh, and Z. Wang, “Adaptive Windowing for Optimal Visualization of Medical Images Based on Normalized Information DistanceIEEE International Conference on Acoustics, Speech, & Signal Processing, Florence, Italy, May 2014.

2.      K. Zeng, T. Zhao, A. Rehman and Z. Wang, “Characterizing perceptual artifacts in compressed video streamsIS&T/SPIE Human Vision and Electronic Imaging XIX (invited paper), San Francisco, CA, Feb. 2014.

3.      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 imagesSPIE Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (Honorable Mention Poster Award), San Diego, CA, Feb. 2014.

4.      J. Wang and Z. Wang, “Perceptual quality of asymmetrically distorted stereoscopic images: the role of image distortion typesInternational Workshop on Video Processing and Quality Metrics for Consumer Electronics (invited paper), Scottsdale, AZ, Jan.-Feb. 2014.

5.      K. Zeng and Z. Wang, “Perceptual evaluation of image denoising algorithmsIEEE Asilomar Conference on Signals, Systems and Computers (invited paper), Nov. 2013.

6.      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.

7.      Y. Fang, Z. Wang and W. Lin, “Video saliency incorporating spatiotemporal cues and uncertainty weightingIEEE International Conference on Multimedia and Expo (oral presentation, 12.7% acceptance rate), San Jose, CA, July 2013. [PDF]

8.      A. Rehman and Z. Wang, “Perceptual experience of time-varying video qualityInternational Workshop on Quality of Multimedia Experience, Klagenfurt, Austria, July 2013.

9.      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.

10.  K. Zeng, A. Rehman, J. Wang and Z. Wang, “From H.264 to HEVC: Coding gain predicted by objective video quality assessment modelsInternational Workshop on Video Processing and Quality Metrics for Consumer Electronics (invited paper), Scottsdale, AZ, Jan.-Feb. 2013. [PDF]

11.  K. Zeng and Z. Wang, “3D-SSIM for video quality assessmentIEEE International Conference on Image Processing, Orlando, FL, Sept. 2012. [PDF]

12.  H. Yeganeh, M. Rostami and Z. Wang, “Objective quality assessment for image super-resolution: a natural scene statistics approachIEEE International Conference on Image Processing, Orlando, FL, Sept. 2012. [PDF]

13.  M. Rostami, O. Michailovich and Z. Wang, “Gradient-based surface reconstruction using compressed sensingIEEE International Conference on Image Processing, Orlando, FL, Sept. 2012. [PDF]

14.  A. Rehman and Z. Wang, “SSIM-inspired perceptual video coding for HEVCIEEE International Conference on Multimedia and Expo (oral presentation, 14% acceptance rate), Melbourne, Australia, July 2012. [PDF]

15.  H. Yeganeh, Z. Wang and E. R. Vrscay, “Adaptive windowing for optimal visualization of medical images based on structural fidelity measureInternational Conference on Image Analysis and Recognition, Aveiro, Portugal, June 2012. [PDF]

16.  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 imagesSPIE Medical Imaging, San Diego, CA, Feb. 2012. [PDF]

17.  M. Rostami and Z. Wang, “Image super-resolution based on sparsity prior via smoothed l0 normSymposium on Advanced Intelligent Systems, Waterloo, Dec. 2011. [PDF]

18.  A. Rehman and Z. Wang, “SSIM-based non local means image denoising”, IEEE International Conference on Image Processing, Brussels, Belgium, Sept. 2011. [PDF, 830K]

19.  Y. Gao, A. Rehman and Z. Wang, “CW-SSIM based image classification”, IEEE International Conference on Image Processing, Brussels, Belgium, Sept. 2011. [PDF, 230K]

20.  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. [PDF, 514K]

21.  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. [PDF, 827K]

22.  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. [PDF, 180K]

23.  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. [PDF, 1.20M]

24.  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. [PDF, 404K]

25.  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. [PDF, 857K]

26.  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. [PDF, 570K]

27.  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.  [PDF, 548K]

28.  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. [PDF, 443K]

29.  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. [PDF, 432K]

30.  H. Yeganeh and Z. Wang, “Objective Assessment of Tone Mapping Algorithms”, IEEE International Conference on Image Processing, Hong Kong, China, Sept. 26-29, 2010. [PDF, 698K]

31.  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. [PDF, 228K]

32.  A. Rehman and Z. Wang, “Reduced-Reference SSIM estimation”, IEEE International Conference on Image Processing, Hong Kong, China, Sept. 26-29, 2010. [PDF, 492K]

33.  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. [PDF, 2.8M]

34.  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. [PDF, 192K]

35.  G. Fan, Z. Wang and J. Wang, “CW-SSIM kernel based random forest for image classificationVisual Communications and Image Processing, Huang Shan, An Hui, China, July 11-14, 2010. [PDF, 248K]

36.  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 forestInternational Conference on Image and Signal Processing, Proc. of Lecture Notes in Computer Science, vol. 6134, pp. 593-600, Trois-Riviθres, QC, Canada, June 30 – July 2, 2010. [PDF, 106K]

37.  U. Rajashekar, Z. Wang and E. P. Simoncelli, “Perceptual quality assessment of color images using adaptive signal representationHuman Vision and Electronic Imaging XV, Proc. SPIE, vol. 7527, Jan. 18-21, 2010. [PDF, 2.37M]

38.  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. [PDF, 7.04M]

39.  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. [PDF, 1.64M]

40.  U. Rajashekar, Z. Wang and E. P. Simoncelli, “Quantifying color image disortions based on adaptive spatio-chromatic signal decompositionsIEEE International Conference on Image Processing, Cairo, Egypt, Nov. 7-11, 2009. [PDF, 207K]

41.  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. [PDF, 8.02M]

42.  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. [PDF, 7.09M]

43.  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. [PDF, 1.50M]

44.  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. [PDF, 1.52M]

45.  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. [PDF, 820K]

46.  R. M. Figueras I Ventura, U. Rajashekar, Z. Wang and E. P. Simoncelli, “Contextually adaptive signal representation using conditional principle component analysisIEEE International Conference on Acoustics, Speech, & Signal Processing, Las Vegas, Nevada, Mar. 30 – Apr. 4, 2008. [PDF, 476K]

47.  G. Varghese and Z. Wang, “Video denoising using a spatiotemporal statistical model of wavelet coefficientsIEEE International Conference on Acoustics, Speech, & Signal Processing, Las Vegas, Nevada, Mar. 30 – Apr. 4, 2008. [PDF, 334K]

48.  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. [PDF, 1.4M]

49.  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. [PDF, 201K]

50.  B. Hiremath, Q. Li and Z. Wang, “Quality-aware video,” IEEE International Conference on Image Processing, San Antonio, TX, Sept. 16-19, 2007. [PDF, 586K]

51.  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. [PDF, 295K]

52.  S. Gupta, M. P. Sampat, Z. Wang, M. K. Markey and A. C. Bovik, “Facial range image matching using the complex wavelet structural similarity metricIEEE Workshop on Applications of Computer Vision, Austin, TX, Feb. 21-22, 2007. [PDF, 250K]

53.  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. [PDF, 231K]

54.  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. [PDF, 377K]

55.  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. [PDF, 464K]

56.  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. [PDF, 92K]

57.  Z. Wang and E. P. Simoncelli, “An adaptive linear system framework for image distortion analysisIEEE International Conference on Image Processing, Genoa, Italy, Sept. 11-14, 2005. [PDF, 227K]

58.  Z. Wang and E. P. Simoncelli, “Translation insensitive image similarity in complex wavelet domainIEEE International Conference on Acoustics, Speech, & Signal Processing, vol. II, pp. 573-576, Philadelphia, PA, March 2005. [PDF, 408K]

59.  Z. Wang and E. P. Simoncelli, “Reduced-reference image quality assessment using a wavelet-domain natural image statistic modelHuman Vision and Electronic Imaging X, Proc. SPIE, vol. 5666, San Jose, CA, Jan. 2005. [PDF, 914K] [Web and code]

60.  Z. Wang and E. P. Simoncelli, “Local phase coherence and the perception of blurAdv. Neural Information Processing Systems (oral presentation in NIPS 2003, 3.6% acceptance rate), vol. 16, MIT Press, May 2004. [PDF, 240K]

61.  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. [PDF, 1.0M]

62.  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. [PDF, 492K] [Web and code]

63.  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. [PDF, 63K]

64.  Z. Wang, L. Lu and A. C. Bovik, "Video quality assessment using structural distortion measurement," IEEE International Conference on Image Processing, Sept. 2002. [PDF, 1.3M]

65.  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. [PDF, 2.7M] [Web]

66.  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. [PDF, 1.2M] [Web and code]

67.  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. [PDF, 458K]

68.  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. [PDF, 89K]

69.  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. [PDF, 952K]

70.  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. [PDF, 331K]

71.  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. [PDF, 3.1M]

72.  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. [PDF, 218K]

73.  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] [PDF, 1.6M]

74.  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. [PDF, 582K]

75.  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. [PDF, 102K]

76.  Z. Wang, A. C. Bovik, "A human visual system-based objective video quality assessment system," International Conference on Multimedia Processing and Systems, Aug. 2000. [PDF, 849K]

77.  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. [PDF, 181K]

78.  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. [PDF, 588K]

79.  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. [PDF, 857K]

80.  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. [PDF, 416K]


Book Chapters

1.      A. K. Moorthy, Z. Wang and A. C. Bovik, "Visual perception and quality assessment," in Optical and Digital Image Processing (Cristobal, Schelkens and Thienpont, eds.), Wiley publisher, 2010. [PDF]

2.      K. Seshadrinathan, T. N. Pappas, R. J. Safranek, J. Chen, Z. Wang, H. R. Sheikh and A. C. Bovik, “Image quality assessment,” in Essential Guide to Image Processing, Elsevier, 2009. [PDF]

3.      Z. Wang, A. C. Bovik and H. R. Sheikh, "Structural similarity based image quality assessment," in Digital Video Image Quality and Perceptual Coding (H. R. Wu, and K. R. Rao, eds.), Marcel Dekker Series in Signal Processing and Communications, Nov. 2005. [PDF, 986K]

4.      Z. Wang and A. C. Bovik, "Foveated image and video coding," in Digital Video Image Quality and Perceptual Coding (H. R. Wu, and K. R. Rao, eds.), Marcel Dekker Series in Signal Processing and Communications, Nov. 2005. [PDF, 2.50M]

5.      K. Seshadrinathan, H. R. Sheikh, Z. Wang and A. C. Bovik, “Structural and information theoretical approaches to image quality assessment,” in Multi-Sensor Image Fusion and Its Applications (R. S. Blum and Z. Liu, eds.), CRC Press, July 2005. [PDF, 3.43M]

6.      Z. Wang, A. C. Bovik and E. P. Simoncelli, "Structural approaches to image quality assessment," in Handbook of Image and Video Processing (Al Bovik, eds.), second edition, Academic Press, May 2005. [PDF, 514K]

7.      Z. Wang, H. R. Sheikh and A. C. Bovik, "Objective video quality assessment," in The Handbook of Video Databases: Design and Applications (B. Furht and O. Marqure, eds.), CRC Press, pp. 1041-1078, Sept. 2003. [PDF, 2.3M]


Editorials

1.      V. Bruni, D. Vitulano and Z. Wang, "Special issue on human vision and information theory," editorial in Springer Signal, Image and Video Processing, vol. 7, no. 3, pp. 389-390, May 2013.

2.      L. Zhang, S. Battiato, Z. Wang, R. Schettini, and K. R. Rao, "Emerging methods for color image and video quality enhancement," EURASIP Journal on Image and Video Processing, vol. 2010, 2010. [PDF]

3.      L. J. Karam, T. Ebrahimi, S. S. Hemami, T. N. Pappas, R. J. Safranek, Z. Wang and A. B. Watson, “Introduction to the issue on visual media quality assessmentIEEE Journal of Selected Topics in Signal Processing, vol. 3, no. 2, pp. 189-192, Apr. 2009. [PDF]


Last updated February 19, 2014