Quality constrained compression using DWT-based image quality metric

IEEE Transactions on Circuits and Systems for Video Technology

Volumn 18, Issue 7, 2008, Pages 910-922

  Gao, Zhigang ^a,b   Zheng, Yuan F ^a,b  

^a IEEE

^b Ohio State University   (United States)

Author keywords

Discrete wavelet transform (DWT); Human visual system (HVS); Image quality metric (IQM); Quality constrained quantization

Indexed keywords

BLOCK CODES; BOOLEAN FUNCTIONS; DATA COMPRESSION; DISCRETE WAVELET TRANSFORMS; ERROR ANALYSIS; IMAGE QUALITY; MATHEMATICAL TRANSFORMATIONS; MEAN SQUARE ERROR; WAVELET TRANSFORMS;

COMPRESSION ALGORITHMS; COMPRESSION PROCESSES; DISCRETE WAVELET TRANSFORM (DWT); FREQUENCY-DOMAIN (FD); HUMAN JUDGMENT; IMAGE QUALITY METRIC; NEW ALGORITHM; NORMALIZED MEAN SQUARE ERROR (NMSE); NORMALIZED MEAN SQUARE ERRORS (NMSE); QUALITY ASSESSMENTS; QUALITY METRIC; SPATIAL FREQUENCY DECOMPOSITION; VISUAL QUALITIES; WAVELET COEFFICIENTS; WAVELET DOMAINS; WAVELET SUBBANDS; WEIGHTED SUM;

ELECTRIC FAULT CURRENTS;

EID: 46349095138     PISSN: 10518215     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCSVT.2008.920744     Document Type: Article

References (39)

1. T. Betchaku, N. Sato, and H. Murakami, "Subjective evaluation methods of facsimile image quality," in Proc. IEEE Int. Conf. Commun., May 1993, vol. 2, pp. 966-970.
2. H. R. Sheikh, M. F. Sabir, and A. C. Bovik, "A statistical evaluation of recent full reference image quality assessment algorithms," IEEE Tmns. Image Process., vol. 15, no. 11, pp. 3441-3452, Nov. 2006.
3. R. Dosselmann and X. Yang, "Existing and emerging image quality metrics," in Proc. CCECE/CCGEI, May 2005, pp. 1906-1913.
4. B. Girod, "What's wrong with, mean-squared error," in Digital Images and Human Vision. Cambridge: MIT Press, 1993, pp. 207-220.
5. A. M. Eskicioglu and P. S. Fisher, "Image quality measures and their performance," IEEE Trans. Commun., vol. 43, no. 12, pp. 2959-2965, Dec. 1995.
6. "Results of preference studies of compressed diagnostic breast images," Private Communication, Nancy Obuchowski to Kim. Powell, Biomed. Eng., Cleveland Clinic Foundation, 2000.
7. 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.
8. A. Shnayderman, A. Gusev, and A. M. Eskicioglu, "An SVD-based grayscale image quality measure for local and global assessment," IEEE Trans. Image Process., vol. 15, no. 2, pp. 422-429, Feb. 2006.
9. A. B. Watson, J. Hu, and J. F. McGowan, III, "DVQ: A digital video quality metric based on human vision," J. Electric Imag., vol. 10, pp. 20-29, Jan. 2001.
10. M. Sendashonga and F. Labeau, "Low complexity image quality assessment using frequency domain transforms," in Proc. IEEE Int. Conf. Image. Process., Oct. 2006, pp. 385-388.
11. N. D.-V. 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.
12. R. L. De Valois and K. K. De Valois, Spatial Vision. Oxford, U.K.: Oxford Univ. Press, 1988.
13. K. Bao and X. Xia, "Image compression, using a new discrete multiwavelet transform, and a new embedded vector quantization," IEEE Trans. Circuits Syst. Video Technol., vol. 10, no. 7, pp. 833-842, Sep. 2000.
14. N. B. Karayiannis, P. Pai, and N. Zervos, "Image compression based on fuzzy algorithms for learning vector quantization and wavelet image decomposition," IEEE Trans. Image Process., vol. 7, no. 8, pp. 1223-1230, Aug. 1998.
15. S. Kasaei, M. Deriche, and B. Boashash, "A novel fingerprint image compression technique using wavelets packets and pyramid lattice vector quantization," IEEE Trans. Image Process., vol. 1.1, no. 12, pp. 1365-1378, Dec. 2002.
16. Y. Huh, J. J. Hwang, and K. R. Rao, "Block wavelet transform, coding of images using classified vector quantization," IEEE Trans. Circuits Syst. Video Technol., vol. 5, no. 2, pp. 63-67, Feb. 1995.
17. P. C. Cosman, R. M. Gray, and M. Vetterli, "Vector quantization of image subbands: A survey," IEEE Trans. Image Process., vol. 5, no. 2, pp. 202-225, Feb. 1996.
18. X. Wang, L. Chang, M. K. Mandal, and S. Pancharathen, "Wavelet-based image coding using nonlinear interpolative vector quantization," IEEE Trans. Image Process., vol. 5, no. 3, pp. 518-522, Mar. 1996.
19. E. A. B. d. Silva, D. G. Sampson, and M. Ghanbari, "Super high definition image coding using wavelet vector quantization," IEEE Trans. Circuits Syst. Video Technol., vol. 6, no. 4, pp. 399-406, Aug. 1996.
20. 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.
21. Z. Liu, L. J. Karam, and A. B. Watson, "JPEG2000 encoding with perceptual distortion control," IEEE Trans. Image Process., vol. 15, no. 7, pp. 1763-1778, Jul. 2006.
22. M. J. Nadenau, J. Reichel, and M. Kunt, "Wavelet-based color image compression: Exploiting the contrast sensitivity function," IEEE Trans. Image. Process., vol. 12, no. 1, pp. 58-70, Jan. 2003.
23. S. Shah and M. D. Levine, "Visual information processing in primate cone pathways-Part I: A model," IEEE Trans. Systems, Man, Cybern. B, vol. 26, no. 4, pp. 259-274, Apr. 1996.
24. H. Ghassemian, "A retina based multi-resolution image fusion," in Proc. EEEInt. Geosci. Remote Sens. Symp., Jul. 200.1, pp. 709-711.
25. A. Croisier, D. Esteban, and C. Galland, "Perfect channel splitting by use of interpolation/decimation/tree decomposition techniques," in Proc. ICIS, Aug. 1976, pp. 443-446.
26. J. W. Woods and S. D. O'Neil, "Subband coding of images," IEEE Trans. Commun., vol. COM-31, pp. 532-540, Apr. 1983.
27. A. S. Lewis and G. Knowles, "Image compression using the 2-D wavelet transform," IEEE Trans. Image Process., vol. 9, no. 4, pp. 244-250, Apr. 1992.
28. M. Antonini, M. Barlaud, P. Mathieu, and I. Daubechies, "Image coding using wavelet transform," IEEE Trans. Image Process., vol. 1, no. 4, pp. 205-220, Apr. 1992.
29. H. Jozawa, H. Watanabe, and S. Singhal, "Interframe video coding using overlapped motion compensation and perfect reconstruction, filter banks," in Proc. IEEE ISCAS, Mar. 1992, vol. 4, pp. 649-652.
30. H. Guo and C. Burrus, "Wavelet transform based fast approximate fourier transform," in Proc. IEEE ICASSP, Apr. 1997, vol. 3, pp. 1973-1976.
31. Z. Xiong, K. Ramchandran, M. T. Orchard, and Y. Zhang, "A comparative study of DCT-based and wavelet-based image coding," IEEE Tmns. Circuits Syst. Video Technol., vol. 9, no. 6, pp. 692-695, Aug. 1999.
32. R. W. Buccigrossi and E. P. Simoncelli, "Image compression via joint statistical characterization, in the wavelet domain," IEEE Trans. Image Process., vol. 8, no. 12, pp. 1688-1701, Dec. 1999.
33. J. Liu and P. Moulin, "Information-theoretic analysis of interscale and intrascale dependencies between, image wavelet coefficients," IEEE Trans. Image Process., vol. 10, no. 11, pp. 1647-1658, Nov. 2001.
34. M. K. Mihcak, I. Kozintsev, K. Ramchandran, and P. Moulin, "Low-complexity image denoising based on statistical modeling of wavelet coefficients," IEEE Signal Process. Lett., vol. 6, no. 12, pp. 300-303, Dec. 1999.
35. M. Antonini, M. Badaud, P. Mathieu, and I. Daubechies, "Image coding using wavelet transform," IEEE Trans. Image Process., vol. 1, no. 4, pp. 205-220, Apr. 1992.
36. H. R. Sheikh, Z. Wang, L. Cormack, and A. C. Bovik, LIVE Image Quality Assessment Database Release 2 2007. [Online], Available: http://live.ece.utexas. edu/research/quality
37. Methodology for the Subjective Assessment of the Quality of Television Pictures,Rec. ITU-RBT.500-11. [Online], Available:http://www.itu.int
38. "Final report from the video quality expert group on the validation of objective models of video quality assessment," Video Quality Expert Group, 2000. [Online]. Available: http://www.vqeg.org
39. M. J. Tsai, J. D. Villasenor, and F. Chen, "Stack-run image coding," IEEE Trans. Circuits Syst. Video Technol., vol. 6, no. 7, pp. 519-521, Oct. 1996.