JPEG2000 encoding with perceptual distortion control

IEEE Transactions on Image Processing

Volumn 15, Issue 7, 2006, Pages 1763-1778

  Liu, Zhen ^a   Karam, Lina J ^b   Watson, Andrew B ^c  

^a QUALCOMM INC   (United States)

^b AZ 85281   (United States)

^c NASA AMES RESEARCH CENTER   (United States)

Author keywords

Distortion control; Embedded coding; Human visual system (HVS); JPEG2000; Perception

Indexed keywords

EMBEDDED SYSTEMS; ERRORS; IMAGE CODING; IMAGE QUALITY; OPTIMIZATION; VISION;

DISTORTION CONTROL; EMBEDDED CODING; HUMAN VISUAL SYSTEM (HVS); JOINT PHOTOGRAPHIC EXPERT GROUP (JPEG2000);

IMAGE COMPRESSION;

ALGORITHM; ARTICLE; ARTIFACT; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER GRAPHICS; IMAGE ENHANCEMENT; INFORMATION PROCESSING; MATHEMATICAL COMPUTING; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING;

ALGORITHMS; ARTIFACTS; COMPUTER GRAPHICS; DATA COMPRESSION; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; NUMERICAL ANALYSIS, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 33745613004     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2006.873460     Document Type: Article

References (33)

1. JPEG2000 Verification Model 7.0 Software, iSO/IEC/JTC1/SC29/WG1 N1685.
2. JASPER Software Reference Manual, iSO/IEC/JTC1/SC29/WG1 N2415.
3. JJ2000 V. 4.2, iSO/IEC/JTC1/SC29/WG1 N2136.
4. D. S. Taubman and M. W. Marcellin, Image Compression Fundamentals, Standards and Practice: JPEG2000. Norwell, MA: Kluwer, 2002.
5. T. Masuzaki, "Adaptive rate control for JPEG2000 image coding in embedded systems," in Proc. IEEE Int. Conf. Image Processing, vol. 3, 2002, pp. 77-80.
6. T. H. Chang, "Computation reduction technique for lossy JPEG2000 encoding through EBCOT tier-2 feedback processing," in Proc. IEEE Int. Conf. Image Processing, vol. 3, 2002, pp. 85-88.
7. D. Taubman, "High performance scalable image compression with EBCOT," IEEE Trans. Image Process., vol. 9, no. 7, pp. 1158-1170, Jul. 2000.
8. W. Zeng, S. Daly, and S. Lei, "An overview of the visual optimization tools in JPEG2000," Signal Process.: Image Commun., pp. 85-104, 2002.
9. Kakadu User's Group Archives. [Online]. Available: http:// www.kakadusoftware.com
10. L. Karam, "An analysis/synthesis model for the human visual based on subspace decomposition and multirate filter bank theory," in Proc. IEEE Int. Symp. Time-Frequency Time-Scale Analysis, 1992, pp. 559-562.
11. J. G. Daugman, "Two-dimensional spectral analysis of the cortical receptive field profiles," Vis. Res., vol. 20, no. 10, pp. 847-856, 1980.
12. N. Jayant, J. Johnston, and R. Safranek, "Signal compression based on models of human perception," Proc. IEEE, vol. 81, no. 10, pp. 1385-1422, Oct. 1993.
13. A. B. Watson and J. A. Solomon, "A model of visual contrast gain control and pattern masking," J. Opt. Soc. Amer., vol. 14, pp. 2397-2391, 1997.
14. D. J. Swift and R. A. Smith, "Spatial frequency masking and Weber's law," Vis. Res., vol. 23, pp. 495-506, 1983.
15. J. Ross and H. D. Speed, "Contrast adaptation and contrast masking in human vision," in Proc. Roy. Soc. Lond. B, 1991, pp. 61-69.
16. G. E. Legge and J. M. Foley, "Contrast masking in human vision," J. Opt. Soc. Amer. A, vol. 70, no. 12, pp. 1458-1471, 1980.
17. D. G. Pelli, "Effects of Visual Noise," Ph.D. dissertation, Cambridge Univ., Cambridge, U.K., 1981.
18. R. J. Safranek, "A comparison of the coding efficiency of perceptual models," Proc. SPIE, vol. 2411, pp. 83-91, 1995.
19. T. Pappas, T. Michel, and R. Hinds, "Supra-threshold perceptual image coding," in IEEE Int. Conf. Image Processing, 1996, pp. 237-240.
20. F. Kingdom and P. Whittle, "Contrast discrimination at high contrasts reveals the influence of local light adaptation on contrast processing," Vis. Res., vol. 36, no. 6, pp. 817-829, 1996.
21. A. B. Watson, G. Y. Yang, J. A. Solomon, and J. Villasenor, "Visibility of wavelet quantization noise," IEEE Trans. Image Process., vol. 6, no. 8, pp. 1164-1175, Aug. 1997.
22. A. B. Watson, "DCT quantization matrices visually optimized for individual images," in Proc. Hum. Vis., Visual Process., Digital Display IV, 1993, pp. 202-216.
23. J. M. Foley and G. M. Boynton, "A new model of human luminance pattern vision mechanisms: Analysis of the effects of pattern orientation, spatial phase and temporal frequency," in Comput. Vis. Based Neurobiol., vol. 2054, 1994, pp. 32-42.
24. J. M. Foley, "Human luminance pattern-vision mechanisms: Masking experiments require a new model," J. Compar. Neurol., vol. 11, no. 6, pp. 1710-1719, 1994.
25. P. C. Teo and D. J. Heeger, "Perceptual image distortion," in Proc. IEEE Int. Conf. Image Processing, 1994, pp. 982-986.
26. I. Honsch and L. J. Karam, "Adaptive image coding with perceptual distortion control," IEEE Trans. Image Process., vol. 11, no. 3, pp. 213-222, Mar. 2002.
27. S. Daly, W. Zeng, J. Li, and S. Lei, "Visual masking in wavelet compression for JPEG2000," Image Video Commun. Process., vol. 3, pp. 1016-1026, 2000.
28. A. B.Watson, "Probability summation over time," Vis. Res., vol. 19, pp. 515-522, 1979.
29. J. G. Robson and N. Graham, "Probability summation and regional variation in contrast sensitivity across the visual field," Vis. Res., vol. 21, pp. 409-418, 1981.
30. [Online]. Available: http://www.jpeg.org/CDs15444.htm
31. D. Taubman, "Software architectures for jpeg2000," in Proc. IEEE Int. Conf. Digital Signal Processing, vol. 1, 2002, pp. 197-200.
32. J. Lin, "Visual progressive coding," Vis. Commun. Image Process., vol. 3653, no. 116, pp. 1143-1154, 1999.
33. Methodology for Subjective Assessment of Quality Of Television Pictures, International Telecommunication Union, Geneva, Switzerland, 2000.