An SVD-based grayscale image quality measure for local and global assessment

IEEE Transactions on Image Processing

Volumn 15, Issue 2, 2006, Pages 422-429

  Shnayderman, Aleksandr ^a,b   Gusev, Alexander ^a,b   Eskicioglu, Ahmet M ^a,b  

^a CITY UNIVERSITY OF NEW YORK   (United States)

^b UNIVERSITY OF NORTH TEXAS   (United States)

Author keywords

Image quality; Local error measurement; Objective measures; Peak signal to noise ratio (PSNR); Singular value decomposition (SVD); Subjective evaluation

Indexed keywords

DISCRETE FOURIER TRANSFORMS; IMAGE COMPRESSION; SIGNAL DISTORTION; SIGNAL TO NOISE RATIO; SPURIOUS SIGNAL NOISE; WAVELET TRANSFORMS;

LOCAL ERROR MEASUREMENT; OBJECTIVE MEASURES; PEAK SIGNAL-TO-NOISE RATIO (PSNR); SINGULAR VALUE DECOMPOSITION (SVD); SUBJECTIVE EVALUATION;

IMAGE QUALITY;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; COMPUTER ASSISTED DIAGNOSIS; EVALUATION; IMAGE ENHANCEMENT; INFORMATION RETRIEVAL; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFORMATION STORAGE AND RETRIEVAL; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 31144439125     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2005.860605     Document Type: Article

References (56)

1. A. M. Eskicioglu, "Quality measurement for monochrome compressed images in the past 25 years," in Proc. IEEE Int. Conf. Acoustics, Speech, Signal Processing, vol. 4, Istanbul, Turkey, Jun. 2000, pp. 1907-1910.
2. A. M. Eskicioglu and P. S. Fisher, "A survey of image quality measures for gray scale image compression," in Proc. Space and Earth Science Data Compression Workshop, Snowbird, UT, Apr. 1993, pp. 49-61.
3. W. K. Pratt, Digital Image Processing. New York: Wiley, 1978.
4. J. O. Limb, "Distortion criteria of the human viewer," IEEE Trans. Syst, Man, Cybern., vol. SMC-9, no. 6, pp. 778-793, Dec. 1979.
5. H. L. Snyder, "Image quality: Measures and visual performance," in Flat-Panel Displays and CRTs, L. E. Tannas Jr., Ed. New York: Van Nostrand Reinhold, 1985, pp. 70-90.
6. A. K. Jain, Fundamentals of Digital Image Processing. Englewood Cliffs, NJ: Prentice-Hall, 1989.
7. J. L. Mannos and D. J. Sakrison, "The effects of a visual fidelity criterion on the encoding of images," IEEE Trans. Inf. Theory, vol. 20, no. 4, pp. 525-536, Jul. 1974.
8. D. J. Sakrison, "On the role of the observer and a distortion measure in image transmission," IEEE Trans. Commun., vol. COM-25, no. 11, pp. 1251-1267, Nov. 1977.
9. C. F. Hall, "Subjective evaluation of a perceptual quality metric," Proc. SPIE, vol. 310, pp. 200-204, 1981.
10. D. J. Granrath, "The role of human visual models in image processing," Proc. IEEE, vol. 69, no. 5, pp. 552-561, May 1981.
11. F. X. J. Lukas and Z. L. Budrikis, "Picture quality prediction based on a visual model," IEEE Trans. Commun., vol. COM-30, no. 7, pp. 1679-1692, Jul. 1982.
12. N. B. Nill, "A visual model weighted cosine transform for image compression and quality assessment," IEEE Trans. Commun., vol. COM-33, no. 6, pp. 551-557, Jun. 1985.
13. H. Marmolin, "Subjective MSE measures," IEEE Trans. Syst., Man, Cybern., vol. SMC-16, no. 3, pp. 486-489, May/Jun. 1986.
14. C. S. Stein, A. B. Watson, and L. E. Hitchner, "Psychophysical rating of image compression techniques," Proc. SPIE, vol. 1977, pp. 198-208, 1989.
15. J. A. Saghri, P. S. Cheatham, and A. Habibi, "Image quality measure based on a human visual system model," Opt. Eng., vol. 28, no. 7, pp. 813-818, Jul. 1989.
16. G. G. Kuperman and B. L. Wilson, "Objective and subjective assessment of image compression algorithms," in Proc. Soc. Information Display International Symp. Dig. Tech. Papers, vol. 22, 1991, pp. 627-630.
17. J. Farrell, H. Trontelj, C. Rosenberg, and J. Wiseman, "Perceptual metrics for monochrome image compression," in Proc. Soc. Information Display International Symp. Dig. Tech. Papers, vol. 22, 1991, pp. 631-634.
18. N. B. Nill and B. H. Bouzas, "Objective image quality measures derived from digital image power spectra," Opt. Eng., vol. 31, no. 4, pp. 813-825, Apr. 1992.
19. A. A. Webster, C. T. Jones, M. H. Pinson, S. D. Voran, and S. Wolf, "An objective video quality assessment system based on human perception," Proc. SPIE, vol. 1913, pp. 15-26, 1993.
20. S. Wolf, M. Pinson, C. Jones, and A. Webster, "A Summary of Methods of Measurement for Objective Video Quality Parameters Based on the Sobel Filtered Image and the Motion Difference Image," Inst. Telecomm. Sci., U.S. Dept. Commerce, Nat. Telecomm. Inf. Admin., Boulder, CO, Doc. T1A1.5/93-152, 1993.
21. H. Hamada and S. Namba, "A study on objective picture quality scales for pictures digitally encoded for broadcast," IEICE Trans. Commun., vol. E77-B, no. 12, pp. 1480-1488, Dec. 1994.
22. W. Xu and G. Hauske, "Picture quality evaluation based on error segmentation," Proc. SPIE, vol. 2308, pp. 1454-1465, 1994.
23. A. M. Eskicioglu and P. S. Fisher, "The variance of the difference image: An alternative quality measure," in Proc. Int. Picture Coding Symp., Sacramento, CA, Sep. 1994, pp. 88-91.
24. S. J. P. Westen, R. L. Lagendijk, and J. Biemond, "Perceptual image quality based on a multiple channel HVS model," in Proc. Int. Conf. Acoustics, Speech, Signal Processing, vol. 4, Detroit, MI, May 1995, pp. 2351-2354.
25. S. A. Karunasekera and N. G. Kingsbury, "A distortion measure for blocking artifacts in images based on human visual sensitivity," IEEE Trans. Image Process., vol. 4, no. 6, pp. 713-724, Jun. 1995.
26. M. Kazubek, A. Przelaskowski, and T. Jamrógiewicz, "Quality measurement of compressed medical images: Block effect measures," in Proc. 10th Nordic-Baltic Conf. Biomedical Engineering, Medical. Biological Engineering Computing, 1996, pp. 235-236.
27. A. B. Watson, R. Borthwick, and M. Taylor, "Image quality and entropy masking," Proc. SPIE, vol. 3016, pp. 1-11, 1997.
28. M. P. Eckert and A. P. Bradley, "Perceptual quality metrics applied to still image compression," Signal Process., vol. 70, pp. 177-200, 1998.
29. M. Miyahara, K. Kotani, and V. R. Algazi, "Compression of image coding techniques with a picture quality scale," IEEE Trans. Commun., vol. COM-46, no. 9, pp. 1215-1226, Sep. 1998.
30. P. Franti, "Blockwise distortion measure for statistical and structural errors in digital images," Signal Process.: Image Commun., vol. 13, pp. 89-98, 1998.
31. T. Eude and A. Mayache, "An evaluation of quality metrics for compressed images based on human visual sensitivity," in Proc. 4th Int. Conf. Signal Processing, vol. 1, Sep. 1998, pp. 779-782.
32. T. Eude, A. Mayache, and C. Milan, "A psychovisual quality metric based on multiscale texture analysis," Proc. SPIE, vol. 3644, pp. 235-244, 1999.
33. K. J. Hermiston and D. M. Booth, "Image quality measurement using integer wavelet transformations," in Proc. Int. Conf. Image Processing, Kobe, Japan, Oct. 1999, pp. 293-297.
34. Z. Wang and A. Bovik, "A universal image quality index," IEEE Signal Process. Let., vol. 9, no. 3, pp. 81-84, Mar. 2002.
35. T.-J. Chen, K.-S. CHuang, J. Wu, S. C. Chen, I.-M. Hwang, and M. L. Jan, "A novel image quality index using moran I statistics," Phys. Med. Biol., vol. 48, pp. N131-N137, 2003.
36. K. Hosaka, "A new picture quality evaluation method," in Proc. Int. Picture Coding Symp., Tokyo, Japan, Apr. 1986, pp. 17-18.
37. P. M. Farrelle, Recursive Block Coding for Image Data Compression. New York: Springer-Verlag, 1990, pp. 104-154.
38. S. Daly, "The visible differences predictor: An algorithm for the assessment of image fidelity," Proc. SPIE, vol. 1616, pp. 2-15, 1992.
39. W. D. Abbott III, R. T. Kay, and R. J. Pieper, "Performance considerations for the application of the lossless browse and residual model," in Proc. Space and Earth Science Data Compression Workshop, Salt Lake City, UT, Apr. 1994, NASA Conf. Pub. 3258, pp. 43-54.
40. A. M. Eskicioglu and P. S. Fisher, "Image quality measures and their performance," IEEE Trans. Commun., vol. 43, pp. 2959-2965, Dec. 1995.
41. A. M. Eskicioglu, "A multi-dimensional measure for image quality" presented at the Space and Earth Science Data Compression Workshop, Salt Lake City, UT, USA, Mar. 1995, JPL Pub. 95-8, pp. 83-92.
42. A. M. Eskicioglu, "An improved graphical quality measure for monochrome compressed images," in Proc. Optical Engineering Midwest, Chicago, IL, May 1995, pp. 692-701.
43. A. M. Eskicioglu, "Application of multi-dimensional measures to reconstructed medical images," Opt. Eng., vol. 35, no. 3, pp. 778-785, Mar. 1996.
44. D. R. Fuhrmann, J. A. Baro, and J. R. Cox Jr., "Experimental evaluation of psychophysical distortion metrics for JPEG-encoded images," J. Electron. Imag., vol. 4, no. 4, pp. 397-406, Oct. 1996.
45. R. J. Beaton, "Quantitative models of image quality," in Proc. 27th Human Factors Soc. Annu. Meeting, 1983, pp. 41-45.
46. Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli, "Image quality assessment: From error measurement to structural similarity" IEEE Trans. Image Process., vol. 13, no. 4, pp. 600-612, Apr. 2004.
47. A. Beghdadi and B. Pesquet-Popescu, "A new image distortion measure based on wavelet decomposition," presented at the 7th ISSPA, Paris, France, Jul. 2003.
48. Z. Wang, A. C. Bovik, and B. L. Evans, "Blind measurement of blocking artifacts in images," presented at the IEEE Inf. Conf. Image Processing, Vancouver, BC, Canada, Sep. 2000.
49. Z. Wang, H. R. Sheikh, and A. C. Bovik, "No-reference perceptual quality assessment of JPEG compressed images," presented at the IEEE Inf. Conf. Image Processing, Rochester, NY, Sep. 2002.
50. A. C. Bovik and S. Liu, "DCT-domain blind measurement of blocking artifacts in DCT-coded images," presented at the Inf. Conf. Acoustics, Speech, Signal Processing, Salt Lake City UT, May 2001.
51. D. Kahaner, C. Moler, and S. Nash, Numerical Methods and Software. Englewood Cliffs, NJ: Prentice-Hall, 1989.
52. S. O. Aase, J. H. Husoy, and P. Waldemar, "A critique of SVD-based image coding systems," in Proc. IEEE Int. Symp. Circuits and Systems VLSI, vol. 4, Orlando, FL, May 1999, pp. 13-16.
53. V. I. Gorodetski, L. J. Popyack, V. Samoilov, and V. A. Skormin, "SVD-based approach to transparent embedding data into digital images," presented at the Int. Workshop Mathematical Methods, Models and Architectures for Computer Network Security, St. Petersbug, Russia, May 2001.
54. R. Liu and T. Tan, "A SVD-based watermarking scheme for protecting rightful ownership," IEEE Trans. Multimedia, vol. 4, no. 1, pp. 121-128, Mar. 2002.
55. D. V. S. Chandra, "Digital image watermarking using singular value decomposition," in Proc. 45th IEEE Midwest Symp. Circuits and Systems, Tulsa, OK, Aug. 2002, pp. 264-267.
56. Final Report from the Video Quality Experts Group on the Validation of Objective Models of Video Quality Assessment, A. M. Rohaly, J. Libert, P. Corriveau, and A. Webster, Eds., 2000.