Image quality assessment and human visual system

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 7744, Issue , 2010, Pages

  Gao, Xinbo ^a   Lu, Wen ^a   Tao, Dacheng ^b   Li, Xuelong ^c  

^a XIDIAN UNIVERSITY   (China)

^b NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^c XI AN INSTITUTE OF OPTICS AND PRECISION MECHANICS   (China)

Author keywords

Bionics methods; Engineering methods; Human visual system; Image quality assessment; Visual physiology; Visual psychophysics

Indexed keywords

ENGINEERING METHODS; HUMAN VISUAL SYSTEM; IMAGE QUALITY ASSESSMENT; VISUAL PHYSIOLOGY; VISUAL PSYCHOPHYSICS;

BIONICS; BIOPHYSICS; COMMUNICATION; IMAGE COMMUNICATION SYSTEMS; IMAGING SYSTEMS; MOTION COMPENSATION; PSYCHOPHYSIOLOGY; RATING; VISUAL COMMUNICATION;

IMAGE QUALITY;

EID: 78649779703     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.862431     Document Type: Conference Paper

References (98)

1. Castleman, R. K., Digital Image Processing, The Prentice Hall, Inc., (1996).
2. Bovik, C. A., The Handbook of Image and Video Processing, New York, Elsevier Academic Press, (2005).
3. Janssen, T. J. "Understanding image quality," in Proc. IEEE Int. Conf. Image Processing, 2(7), (2001).
4. Wang, Z., Bovik, C. A., and Lu, L. G., "Why is image quality assessment so difficult?" in Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing, Florida, USA, 4, 3313-3316 (2002).
5. Winkler, S., Digital Video Quality Vision Models and Metrics, John Wiley & Sons, Ltd., (2004).
6. Wu, R. H. and Rao, R. K., Digital Video Image Quality and Perceptual Coding. Taylor and Francis Group, LLC, (2006).
7. Lin, W. S., "Gauging image and video quality in industrial applications," in Advances of Computational Intelligence in Industrial Systems, 116, 117-137 (2008).
8. Tektronix, Inc. Picture Quality Analysis System. (2007). http://www.tektronix.com/video-audio.
9. Wang, Z. and Bovik, C. A., Modern Image Quality Assessment, New York: Morgan and Claypool Publishing Company (2006).
10. Methodology for the Subjective Assessment of the Quality of Television Pictures, Recommendation ITU-R Rec. BT. 500-11.
11. Final Report from the Video Quality Experts Group on the Validation of Objective Models of Video Quality Assessment, Phase II VQEG (2003). Online at http://www.vqeg.org.
12. Avcibas, I., Sankur, B., and Sayood, K., "Statistical evaluation of image quality measures," Journal of Electronic Imaging, 11(2), 206-213 (2002).
13. Eskicioglu, M. A. and Fisher, S. P., "Image quality measures and their performance," IEEE Trans. Communication, 43(12), 2959-2965 (1995).
14. Watson, B. A., Digital Images and Human Vision, The MIT Press, Cambridge, MA, (1993).
15. Marr, D., Vision: A Computational Investigation into the Human Representation and Processing of Visual Information, Freeman. San Francisco. (1982).
16. Wandell, A. B., Foundations of vision, MA: Sinauer Associates, (1995).
17. Carlson, R. N., Foundations of Physiological Psychology (6th Edition), Boston: Allyn & Bacon, (2004).
18. Norton, T. T., Bailey E. J., and Corliss, A. D., Psychophysical Measurement of Visual Function, Butterworth-Heinemann, Boston, (2002).
19. Crick, F., The Astonishing Hypothesis: The Scientific Search for the Soul, New York: Scribner reprint edition, (1995).
20. Westheimer, G., "The eye as an optical instrument," in K. R. Boff, L. Kaufman, and J. P. Thomas, eds., Handbook of Human Perception and Performance, Wiley and sons, New York, (1986).
21. Rodieck, W. R., "The primate retina," Comparative Primate Biology, 4, 203-278 (1986).
22. Shou, T. D., Brain Mechanisms of Visual Information Processing, Shanghai Science and Education Press, Shanghai, (1997).
23. Li, Z. P., "A neural model of contour in integration in the primary visual cortex," Neural Computation, 10, 903-940 (1998).
24. Michelson, A. A., Studies in Optics, Chicago, IL: Univ. Chicago Press, (1927).
25. Peli, E., Arend, E. L., Young, M. G., and Goldstein, B. R., "Contrast sensitivity to patch stimuli: Effects of spatial bandwidth and temporal presentation," Spatial Vision, 7, 1-14 (1993).
26. Legge, E. G., and Foley, M. J., "Contrast masking in human vision," Journal of the Optical Society of America, 70(12), 1458-1471 (1980).
27. Campbell, F., and Robson, J., "Application of fourier analysis to the visibility of gratings," Journal of Physiology, 197, 551-566 (1968).
28. Treisman, M. A., and Gelade, G., "A feature-integration theory of attention," Cognitive Psychology, 12(1), 97-136 (1980).
29. Posner, I. M., and Petersen, E. S., "The attention system of the human brain," Annual Review of Neuroscience, 13, 25-42 (1990).
30. Winkler, S., Vision Models and Quality Metrics for Processing Applications, Dr thesis. Diplom-Ingenieur der Elektrotechnik, Technische University Wien de nationality autrichienne, (2000).
31. Watson, B. A., Robert, B., Taylor, M., "Image quality and entropy masking," in Proc. SPIE, San Jose, CA, 3016, 2-12 (1997).
32. Kein, A. S., Carney, T., Barghout-stein, L., and Tyler, W. C., "Seven models of masking," in Proc. SPIE, 3016, San Jose, CA, 13-24 (1997).
33. DeYoe, A. E., and Van Essen, C. D., "Concurrent processing streams in monkey visual cortex," Trends in Neurosciences, 11(5), 219-226 (1988).
34. James, W., The principles of psychology, New York: H. Holt, (1890).
35. Itti, L., Koch, C., and Niebur, E., "A model of saliency-based visual attention for rapid scene analysis," IEEE Trans. on Pattern Analysis and Machine Intelligence, 20(11), 1254-1259 (1998).
36. Harel, J., Koch, C., and Perona, P., "Graph-based visual saliency," NIPS, 2006.
37. Rajashekar, U., Bovik, C. A., and Cormack, K. L., "GAFFE: A gaze-attentive fixation finding engine," IEEE Trans. Image Processing, 17(4), 564-573 (2008).
38. Crick, F., "Function of the thalamic reticular complex: the searchlight hypothesis," in Proc. Arad. Sci. USA, 81, 4584-4590 (1984).
39. Tsotsos, K. J., "Analyzing vision at the complexity level," Behavioral and, Brain Sciences, 13(3), 423-445 (1990).
40. Watson, B. A., "The cortex transform: Rapid computation of simulated neural images," Computer Vision, Graphics, and Image Processing, 39(3), 311-327 (1987).
41. Do, N. Minh, Directional Multiresolution Image Representations. PhD thesis, École Polytechnique Fédéral de Lausanne, (2001).
42. Romberg, K. Justin, Multiscale Geometric Image Processing. PhD thesis, Rice University, (2003).
43. Barten, G. J. P., "Contrast Sensitivity of the Human Eye and Its Effects on Image Quality," in Proc. SPIE, Bellingham, Washington, (1999).
44. Granger, M. E., Heurtley, C. J., "Visual chromaticity-modulation transfer function," Journal of the Optical Society of America, 63(9), 1173-1174 (1973).
45. Mullen, T. K., "The contrast sensitivity of human colour vision to redgreen and blue-yellow chromatic gratings," Journal of Physiology, 359, 381-400 (1985).
46. Horst, van der G., and Bouman, A. M., "Spatiotemporal chromaticity discrimination," Journal of the Optical Society of America, 59, 1482-1488 (1969).
47. Seyler, J. A., and Budrikis, L. Z., "Detail perception after scene changes in television image presentations," IEEE Trans. Information Theory 11(1), 31-43 (1965).
48. Zhang, X. H., Lin, W. S., Xue, P., "Just-noticeable difference estimation with pixels in images," Journal of visual communication & image representation, 19, 30-41 (2008).
49. Daly, S., "The visible difference predictor: an algorithm for the assessment of image fidelity," in A. B. Watson, ed., Digital Images and Human Vision, Cambridge, MA: The MIT Press, 179-206 (1993).
50. Lubin, J., "A visual discrimination mode for image system design and evaluation," in E. Peli, ed., Visual Models for Target Detection and Recognition, Singapore, World Scientific, 207-220 (1995).
51. Safranek, J. R. and Johnston, D. J., "A perceptually tuned sub-band image coder with image dependent quantization and post-quantization data compression." in Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing, 1945-1948 (1989).
52. Teo, C. P. and Heeger, J. D., "Perceptual image distortion," in Proc. SPIE, Human Vision, Visual Processing, and Digital Display V, San Jose, CA, 2179, 127-141 (1994).
53. Watson, B. A., "DCT quantization matrices visually optimized for individual images," in Proc. SPIE Human vision, Visual Processing and Digital Display IV, Bellingham, WA, USA, 1913(14), 202-216 (1993).
54. Lu, W., Gao, X. B., Tao, D. C., Li, X. L., "A wavelet-based image quality assessment method," International Journal of Wavelets, Multiresolution and Information Processing, 6(4), 541-551 (2008).
55. Watson, B. A., Yang, Y. G., Solomon, A. J., and Villasenor, J., "Visibility of wavelet quantization noise," IEEE Trans. Image Processing, 6(8), 1164-1175 (1997).
56. Bradley, P. A., "A wavelet difference predictor," IEEE Trans. Image Processing, 8(5), 717-730 (1999).
57. Lukas, X. J. F. and Budrikis, L. Z., "Picture quality prediction based on a visual model," IEEE Trans. Communication, 30(7), 1679-1692 (1982).
58. Tong, X., Heeger, D., and van den Branden Lambrecht, J. C., "Video quality evaluation using ST-CLELAB," in Proc. SPIE, San Jose, CA, 3644, 185-196 (1999).
59. van den Branden Lambrecht, J. C., and Verscheure, O., "Perceptual quality measure using a spatio-temporal model of the human visual system," in Proc. SPIE, San Jose, CA, 2668, 450-461 (1996).
60. Winkler, S., "A perceptual distortion metric for digital color video," in Proc. SPIE, San Jose, CA, 3644, 175-184 (1999).
61. Gao, X. B., Lu, W., Li, X. L., and Tao, D. C., "Wavelet-based contourlet in quality evaluation of digital images," Neurocomputing, 72(12), 378-385 (2008).
62. Gao, X. B., Lu, W., Li, X. L., and Tao, D. C., "Image quality assessment based on multiscale geometric analysis," IEEE Trans. Image Processing, 18(7), 1409-1423 (2009).
63. Miyahara, M., Kotani, K., and Algazi, V. R., "Objective Picture Quality Scale for Image Coding," IEEE Trans. Communications, 46(9), 1215-1225 (1998).
64. Weken, V. D., Nachtegael, M., and Kerre, E. E., "Using similarity measures and homogeneity for the comparison of images," Image and Vision Computing, 22, 695-702 (2004).
65. Wang, Z., Bovik, C. A., Sheikh, R. H., and Simoncelli, P. E., "Image quality assessment: from error visibility to structural similarity," IEEE Trans. Image Processing, 13(4), 600-612 (2004).
66. Gao, X. B., Wang, T., and Li, J., "A content-based image quality metric." D. Slezak et al. (Eds.): RSFDGrC2005, Lecture Notes in Artificial Intelligence, LNAI 3642, 231-240 (2005).
67. Hekstra, P. A., Beerends, G. J., Ledermann, D., de Caluwe, E. F., Kohler, S., Koenen, H. R., Rihs, S., Ehrsam, M., and Schlauss, D., "PVQM - a perceptual video quality measure," Signal Processing: Image Communication, 17(10), 781-798 (2002).
68. Wolf, S. and Pinson, H. M., "Spatial-temporal distortion metrics for in-service quality monitoring of any digital video system," in Proc. SPIE, Boston, MA, 3845, 266-277 (1999).
69. Pahalawatta, V. P. and Tourapis, M. A., "Motion estimated temporal consistency metrics for objective video quality assessment," 2009 International Workshop on Quality of Multimedia Experience, 174-179 (2009).
70. Gunawan, P. I. and Ghanbari, M., "Reduced-reference video quality assessment using discriminative local harmonic strength with motion consideration," IEEE Trans. Circuits and Systems for Video Technology, 18(1), 71-83 (2008).
71. Ninassi, A., Meur, L. O., Callet, L. P., and Barba, D., "Considering temporal variations of spatial visual distortions in video quality assessment," IEEE Journal on Selected Topics in Signal Processing, 3(2), 253-265 (2009).
72. Zhai, G. T., Cai, J. F., Lin, W. S., Yang, X. K., Zhang, W. J., and Etoh, M., "Cross-dimensional perceptual quality assessment for low bit-rate videos," IEEE Trans. Multimedia, 10(7), 1316-1324 (2008).
73. Hewage, T. E. R. C., Worrall, T. S., Dogan, S., Villette, S., and Kondoz, M. A., "Quality evaluation of color plus depth map-based stereoscopic video", IEEE Journal on Selected Topics in Signal Processing, 3(2), 304-318 (2009).
74. Barkowsky, M., Bialkowski, J., Eskofier, B., Bitto, R., and Kaup, A., "Temporal trajectory aware video quality measure," IEEE Journal on Selected Topics in Signal Processing, 3(2), 266-279 (2009).
75. Winkler, S. and Mohandas, P., "The evolution of video quality measurement: From PSNR to hybrid metrics," IEEE Trans. Broadcasting, 54(3), 660-668 (2008).
76. Shnayderman, A., Gusev, A., and Eskicioglu, M. A., "An SVD-based grayscale image quality measure for local and global assessment," IEEE Trans. Image Processing, 15(2), 422-429 (2006).
77. Chandler, M. D., and Hemami, S. S., "A Wavelet-based visual signal-to-noise ratio for natural images," IEEE Trans. Image Processing, 16(9), 2284-2298 (2007).
78. Sheikh, R. H., Bovik, C. A., and Veciana, D. G., "An information fidelity criterion for image quality assessment using natural scene statistics," IEEE Trans. Image Processing, 14(12), 2117-2128 (2005).
79. Sheikh, R. H., and Bovik, C. A., "Image information and visual quality," IEEE Trans. Image Processing, 15(2), 430-444 (2006).
80. Li, Q. and Wang, Z., "Reduced-reference image quality assessment using divisive normalization-based image representation," IEEE Journal of Selected Topics in Signal Processing, 3(2), 202-211 (2009).
81. Rajashekar, U., Wang, Z., and Simoncelli, P. E., "Quantifying color image distortions based on adaptive spatio-chromatic signal decompositions, " in Proc. IEEE Int. Conf. Image Processing, Cairo, Egypt, Nov. 2009.
82. Watson, B. A., Hu, J., and McGowan, F. J., "DVQ: A digital video quality metric based on human vision," Journal of Electronic Imaging, 10(1), 20-29 (2001).
83. Callet, L. P., Viard-Gaudin, C., and Barba, D., "A convolutional neural network approach for objective video quality assessment," IEEE Trans. on Neural Networks, 17(5), 1316-1327 (2006).
84. Baroncini, V. and Pierotti, A., "Single-ended objective quality assessment of DTV," in Proc. SPIE, Boston, MA, 3845, 244-253 (1999).
85. Horita, Y., Miyata, T., Gunawan, P. I., Murai, T., and Ghanbari, M., "Evaluation model considering static-temporal quality degradation and human memory for SSCQE video quality," in Proc. SPIE, Lugano, Switzerland, 5150, 1601-1611 (2003).
86. Li, X. L., Tao, D. C., Gao, X. B., and Lu, W., "A natural image quality metric," Signal Processing, 89(4), 548-555 (2009).
87. Farias, C. Q. M., Carli, M. and Mitra, K. S., "Objective video quality metric based on data hiding," IEEE Trans. on Consumer Electronics, 51(3), 983-992 (2005).
88. Gastaldo, P., Zunino, R., and Rovetta, S., "Objective assessment of MPEG-2 video quality," Journal of Electronic Imaging, 11(3), 365-374 (2002).
89. Tao, D. C., Li, X. L., Lu, W., and Gao, X. B., "Reduced-reference IQA in contourlet domain," IEEE Trans. Systems, Man, and Cybernetics, 39(6), 1623-1627 (2009).
90. Damera-Venkata, N., Kite, D. T., Geisler, S. W, Evans, L. B., and Bovik, C. A., "Image quality assessment based on a degradation model," IEEE Trans. Image Processing, 4(4), 636-650 (2000).
91. Engelke, U., Kusuma, M., Zepernick, H., and Caldera, M., "Reduced-reference metric design for objective perceptual quality assessment in wireless imaging," Signal Processing: Image Communication, 24, 525-547 (2009).
92. Angelis, D. A., Moschitta, A., Russo, F., and Carbone, P., "A vector approach for image quality assessment and some metrological considerations," IEEE Trans. Instrumentation and Measurement, 58(1), 14-25 (2009).
93. Tan, T. K., Ghanbari, M., and Pearson, E. D., "An objective measurement tool for MPEG video quality," Signal Processing, 70(3), 279-294 (1998).
94. Tan, T. K. and Ghanbari, M., "A multi-metric objective picture-quality measurement model for MPEG video," IEEE Trans. Circuits and Systems for Video Technology, 10(7), 1208-1213 (2000).
95. Caviedes, J. and Oberti, F., "No-reference quality metric for degraded and enhanced video," in Proc. SPIE, Lugano, Switzerland, 5150, 621-632 (2003).
96. Sheikh, R. H., Bovik, C. A., and Cormack, L., "No-reference quality assessment using natural scene statistics: JPEG2000," IEEE Trans. Image Processing, 14(11), 1918-1927 (2005).
97. Lu, W., Zeng, K., Tao, D. C., Li, X. L., and Gao, X. B., "Blind image quality assessment based on statistical analysis in contourlet domain," Neurocomputing, 11, (2009).
98. Gao, X. B., Lu, W., Quality Assessment Methods for Visual Information, Xidian University Press, (2009).