Image quality assessment based on multi-scale representation of structure

Digital Signal Processing: A Review Journal

Volumn 33, Issue , 2014, Pages 125-133

  Qian, Jiansheng ^a   Wu, Dong ^a   Li, Leida ^a,b   Cheng, Deqiang ^a   Wang, Xuesong ^a  

^a CHINA UNIVERSITY OF MINING AND TECHNOLOGY   (China)

^b NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

Difference of Gaussian; Full reference; Image quality assessment; Information content weighting

Indexed keywords

IMAGE ANALYSIS; QUALITY CONTROL;

DIFFERENCE OF GAUSSIAN; FULL REFERENCES; IMAGE DEGRADATION; IMAGE QUALITY ASSESSMENT; IMAGE STRUCTURES; INFORMATION CONTENTS; MULTISCALE REPRESENTATIONS; REFERENCE IMAGE;

IMAGE QUALITY;

EID: 84906239508     PISSN: 10512004     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.dsp.2014.06.009     Document Type: Article

References (32)

1. W.S. Lin, and C.-C. Jay Kuo Perceptual visual quality metrics: a survey J. Vis. Commun. Image Represent. 22 4 2011 297 312
2. D.M. Chandler Seven challenges in image quality assessment: past, present, and future research ISRN Signal Process. 2013 1 53 Article ID 905685
3. L. Ma, C.W. Deng, K.N. Ngan, and W.S. Lin Recent advances and challenges of visual signal quality assessment China Commun. 20 5 2013 62 78
4. Z. Wang Applications of objective image quality assessment methods IEEE Signal Process. Mag. 28 6 2011 137 142
5. D. Marr Vision 1980 Freeman New York
6. Z. Wang, A.C. Bovik, H.R. Sheikh, and E.P. Simoncelli Image quality assessment: from error visibility to structural similarity IEEE Trans. Image Process. 13 4 2004 600 612
7. Z. Wang, E.P. Simoncelli, and A.C. Bovik Multi-scale structural similarity for image quality assessment Proc. of International Conference on Signals, Systems and Computers Pacific Grove, USA Nov. 2003 1398 1402
8. Z. Wang, and Q. Li Information content weighting for perceptual image quality assessment IEEE Trans. Image Process. 20 5 2011 1185 1198
9. K. Gu, G.T. Zhai, X.K. Yang, and W.J. Zhang An improved full-reference image quality metric based on structure compensation Proc. of Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) Hollywood, CA Dec. 2012 1 6
10. L. Zhang, L. Zhang, X.Q. Mou, and D. Zhang FSIM: a feature similarity index for image quality assessment IEEE Trans. Image Process. 20 8 2011 2378 2386
11. P. Kovesi Phase congruency: a low-level image invariant Psychol. Res. 64 2 2000 136 148
12. M.C. Morrone, and D.C. Burr Feature detection in human vision: a phase-dependent energy model Proc. R. Soc. Lond. B, Biol. Sci. 235 1280 1988 221 245
13. A.M. Liu, W.S. Lin, and M. Narwaria Image quality assessment based on gradient similarity IEEE Trans. Image Process. 24 4 2012 1500 1512
14. K. Okarma Combined full-reference image quality metric linearly correlated with subjective assessment Proc. of 10th International Conference on Artificial Intelligence and Soft Computing (ICAISC 2010) Zakopane, Poland June 2010 539 546
15. K. Okarma Combined image similarity index Opt. Rev. 19 5 2012 349 354
16. T.J. Liu, W.S. Lin, and C.-C. Jay Kuo Image quality assessment using multi-method fusion IEEE Trans. Image Process. 22 5 2013 1793 1807
17. H.R. Sheikh, and A.C. Bovik Image information and visual quality IEEE Trans. Image Process. 15 2 2006 430 444
18. D.G. Lowe Distinctive image features from scale-invariant keypoints Int. J. Comput. Vis. 60 2 2004 91 110
19. Y. Richard The Gaussian derivative model for spatial vision: I. Retinal mechanisms Spat. Vis. 2 4 1987 273 293
20. E. Kandel, J. Schwartz, and T. Jessell Principles of Neural Science 4th ed. 2000 McGraw-Hill
21. B. Wandell Foundations of Vision 1995 Sinauer Associates
22. Z. Wang, and X.L. Shang Spatial pooling strategies for perceptual image quality assessment Proc. of IEEE International Conference on Image Processing Atlanta, GA Oct. 2006 2945 2948
23. H.R. Sheikh, M.F. Sabir, and A.C. Bovik A statistical evaluation of recent full reference image quality assessment algorithms IEEE Trans. Image Process. 15 11 2006 3440 3451
24. H.R. Sheikh, Z. Wang, L. Cormack, and A.C. Bovik LIVE Image Quality Assessment Database Release 2 http://live.ece.utexas.edu/research/quality
25. E.C. Larson, and D.M. Chandler Most apparent distortion: full-reference image quality assessment and the role of strategy J. Electron. Imaging 19 1 2010 011006 1-21
26. N. Ponomarenko, V. Lukin, A. Zelensky, K. Egiazarian, M. Carli, and F. Battisti TID2008 - a database for evaluation of full-reference visual quality assessment metrics Adv. Mod. Radioelectron. 10 4 2009 30 45
27. N. Ponomarenko, F. Battisti, K. Egiazarian, J. Astola, and V. Lukin Metrics performance comparison for color image database Proc. Fourth International Workshop on Video Processing and Quality Metrics for Consumer Electronics Scottsdale, Arizona Jan. 2009
28. Y. Horita, K. Shibata, Y. Kawayoke, and Z.M.P. Sazzad MICT: image quality evaluation database http://mict.eng.u-toyama.ac.jp/mict/index2.html 2000
29. P. Le Callet, and F. Autrusseau Subjective quality assessment IRCCyN/IVC database http://www.irccyn.ec-nantes.fr/ivcdb/
30. D. Jayaraman, A. Mittal, A.K. Moorthy, and A.C. Bovik Objective quality assessment of multiply distorted images Proc. of Asilomar Conference on Signals, Systems and Computers Pacific Grove, CA Nov. 2012 1693 1697
31. T.S. Lee Image representation using 2D Gabor wavelets IEEE Trans. Pattern Anal. Mach. Intell. 18 10 1996 959 971
32. S. Fischer, F. Sroubek, L. Perrinet, R. Redondo, and G. Cristóbal Self invertible Gabor wavelets Int. J. Comput. Vis. 75 2 2007 231 246