FSIM: A feature similarity index for image quality assessment

IEEE Transactions on Image Processing

Volumn 20, Issue 8, 2011, Pages 2378-2386

  Zhang, Lin ^a   Zhang, Lei ^a   Mou, Xuanqin ^b   Zhang, David ^a  

^a HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

^b XI'AN JIAOTONG UNIVERSITY   (China)

Author keywords

Gradient; image quality assessment (IQA); low level feature; phase congruency (PC)

Indexed keywords

COMPUTATIONAL MODEL; FEATURE SIMILARITIES; GRADIENT; HUMAN VISUAL SYSTEMS; IMAGE GRADIENTS; IMAGE QUALITY ASSESSMENT; IMAGE QUALITY ASSESSMENT (IQA); LOCAL STRUCTURE; LOW-LEVEL FEATURE; LOW-LEVEL FEATURES; PHASE CONGRUENCY; PHASE CONGRUENCY (PC); QUALITY MAPS; STRUCTURAL SIMILARITY; STRUCTURE-BASED; SUBJECTIVE EVALUATIONS; WEIGHTING FUNCTIONS;

IMAGE QUALITY; RATING;

QUALITY CONTROL;

ALGORITHM; FACTUAL DATABASE; HUMAN; IMAGE PROCESSING; LETTER; METHODOLOGY; REPRODUCIBILITY; THEORETICAL MODEL; VISION;

ALGORITHMS; DATABASES, FACTUAL; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MODELS, THEORETICAL; REPRODUCIBILITY OF RESULTS; VISUAL PERCEPTION;

EID: 79960509746     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2011.2109730     Document Type: Article

References (39)

1. 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., vol. 13, no. 4, pp. 600-612, Apr. 2004.
2. N. Damera-Venkata, T. D. Kite, W. S. Geisler, B. L. Evans, and A. C. Bovik, "Image quality assessment based on a degradation model," IEEE Trans. Image Process., vol. 9, no. 4, pp. 636-650, Apr. 2000. (Pubitemid 30594731)
3. D. M. Chandler and S. S. Hemami, "VSNR: A wavelet-based visual signal-to-noise ratio for natural images," IEEE Trans. Image Process., vol. 16, no. 9, pp. 2284-2298, Sep. 2007. (Pubitemid 47316675)
4. H. R. Sheikh and A. C. Bovik, "Image information and visual quality," IEEE Trans. Image Process., vol. 15, no. 2, pp. 430-444, Feb. 2006. (Pubitemid 43126168)
5. Z. Wang, E. P. Simoncelli, and A. C. Bovik, "Multi-scale structural similarity for image quality assessment," in Proc. IEEE Asilomar Conf. Signals, Syst. Comput., Nov. 2003, pp. 1398-1402.
6. C. Li and A. C. Bovik, "Three-component weighted structural similarity index," in Proc. SPIE, 2009, vol. 7242, pp. 72420Q-1-72420Q-9.
7. H. R. Sheikh, A. C. Bovik, and G. de Veciana, "An information fidelity criterion for image quality assessment using natural scene statistics," IEEE Trans. Image Process., vol. 14, no. 12, pp. 2117-2128, Dec. 2005. (Pubitemid 41763727)
8. M. P. Sampat, Z. Wang, S. Gupta, A. C. Bovik, and M. K. Markey, "Complex wavelet structural similarity:A newimage similarity index," IEEE Trans. Image Process., vol. 18, no. 11, pp. 2385-2401, Nov. 2009.
9. 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., vol. 15, no. 11, pp. 3440-3451, Nov. 2006. (Pubitemid 44615139)
10. 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. Modern Radioelectron., vol. 10, pp. 30-45, 2009.
11. Z. Wang and Q. Li, "Information content weighting for perceptual image quality assessment," IEEE Trans. Image Process., to be published.
12. E. C. Larson and D. M. Chandler, "Unveiling relationships between regions of interest and image fidelity metrics," Proc. SPIE Vis. Comm. Image Process., vol. 6822, pp. 6822A1-6822A16, Jan. 2008.
13. E. C. Larson, C. Vu, and D. M. Chandler, "Can visual fixation patterns improve image fidelity assessment?," in Proc. IEEE Int. Conf. Image Process., 2008, pp. 2572-2575.
14. D. Marr, Vision. New York: Freeman, 1980.
15. D. Marr and E. Hildreth, "Theory of edge detection," Proc. R. Soc. Lond. B, vol. 207, no. 1167, pp. 187-217, Feb. 1980. (Pubitemid 10103608)
16. M. C. Morrone and D. C. Burr, "Feature detection in human vision: A phase-dependent energy model," Proc. R. Soc. Lond. B, vol. 235, no. 1280, pp. 221-245, Dec. 1988.
17. M. C. Morrone, J. Ross, D. C. Burr, and R. Owens, "Mach bands are phase dependent," Nature, vol. 324, no. 6049, pp. 250-253, Nov. 1986.
18. M. C. Morrone and R. A. Owens, "Feature detection from local energy," Pattern Recognit. Lett., vol. 6, no. 5, pp. 303-313, Dec. 1987.
19. P. Kovesi, "Image features from phase congruency," Videre: J. Comp. Vis. Res., vol. 1, no. 3, pp. 1-26, 1999.
20. L. Henriksson, A. Hyvärinen, and S. Vanni, "Representation of crossfrequency spatial phase relationships in human visual cortex," J. Neurosci., vol. 29, no. 45, pp. 14342-14351, Nov. 2009.
21. Z. Liu and R. Laganière, "Phase congruence measurement for image similarity assessment," Pattern Recognit. Lett., vol. 28, no. 1, pp. 166-172, Jan. 2007. (Pubitemid 44646676)
22. Z.Wang and E. P. Simoncelli, "Local phase coherence and the perception of blur," in Advance Neural Information Processing Systems. :, 2004, pp. 786-792.
23. R. Hassen, Z. Wang, and M. Salama, "No-reference image sharpness assessment based on local phase coherence measurement," in Proc. IEEE Int. Conf. Acoust., Speech, Signal Process., 2010, pp. 2434-2437.
24. D. Gabor, "Theory of communication," J. Inst. Elec. Eng., vol. 93, no. 3, pp. 429-457, 1946.
25. D. J. Field, "Relations between the statistics of natural images and the response properties of cortical cells," J. Opt. Soc. Amer. A, vol. 4, no. 12, pp. 2379-2394, Dec. 1987.
26. C. Mancas-Thillou and B. Gosselin, "Character segmentation- by-recognition using log-Gabor filters," in Proc. Int. Conf. Pattern Recognit., 2006, pp. 901-904. (Pubitemid 46532345)
27. S. Fischer, F. Šroubek, L. Perrinet, R. Redondo, and G. Cristóbal, "Selfinvertible 2D log-Gabor wavelets," Int. J. Comput. Vis., vol. 75, no. 2, pp. 231-246, Nov. 2007.
28. W.Wang, J. Li, F. Huang, and H. Feng, "Design and implementation of log-Gabor filter in fingerprint image enhancement," Pattern Recognit. Lett., vol. 29, no. 3, pp. 301-308, Feb. 2008. (Pubitemid 350250912)
29. R. Jain, R. Kasturi, and B. G. Schunck, Machine Vision. New York: McGraw-Hill, 1995.
30. B. Jähne, H. Haubecker, and P. Geibler, Handbook of Computer Vision and Applications. New York: Academic, 1999.
31. C. Yang and S. H. Kwok, "Efficient gamut clipping for color image processing using LHS and YIQ," Opt. Eng., vol. 42, no. 3, pp. 701-711, Mar. 2003.
32. E. C. Larson and D. M. Chandler, Categorical Image Quality (CSIQ) Database 2009 [Online]. Available: http://vision.okstate.edu/csiq
33. H. R. Sheikh, K. Seshadrinathan, A. K. Moorthy, Z.Wang, A. C. Bovik, and L. K. Cormack, Image and Video Quality Assessment Research at LIVE 2004 [Online]. Available: http://live.ece.utexas.edu/research/ quality
34. A. Ninassi, P. Le Callet, and F. Autrusseau, Subjective Quality Assessment- IVC Database 2005 [Online]. Available: http://www2.irccyn.ecnantes. fr/ivcdb
35. Y. Horita, K. Shibata, Y. Kawayoke, and Z. M. P. Sazzad, MICT Image Quality Evaluation Database 2000 [Online]. Available: http://mict.eng.u-toyama. ac.jp/mict/index2.html
36. D. M. Chandler and S. S. Hemami, A57 Database 2007 [Online].Available: http://foulard.ece.cornell.edu/dmc27/vsnr/vsnr.html
37. Z. Wang, SSIM Index for Image Quality Assessment 2003 [Online]. Available: http://www.ece.uwaterloo.ca/̃z70wang/research/ssim/
38. M. Gaubatz and S. S. Hemami, MeTriX MuX Visual Quality Assessment Package [Online]. Available: http://foulard.ece.cornell. edu/gaubatz/metrix-mux
39. Final Report From the Video Quality Experts Group on the Validation of Objective Models of Video Quality Assessment VQEG [Online]. Available: http://www.vqeg.org, 2000