Wavelet transform image compression using human visual characteristics and a tree structure with a height attribute

Optical Engineering

Volumn 35, Issue 1, 1996, Pages 204-212

  Kim, Yongkyu ^a,c   Choi, Illsang ^a   Lee, Imgeun ^a   Yun, Taekhyun ^a,d   Park, Kyu Tae ^{a,b,e,f,g,h,i,j,k}  

^a Yonsei University   (South Korea)

^b SPIE ^*

^c Samsung Electron Co Res Lab

^d Goldstar Electron Co Video Res L

^e UNIVERSITY COLLEGE LONDON   (United Kingdom)

^f UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

^g Ctr for Signal Processing Research

^h Southampton University ^*

ⁱ Presidential Cncl Sci and Technol   (South Korea)

^j Korea Science and Engineering Foundation   (South Korea)

^k IEEE

more..

Author keywords

Human visual system (HVS); Image coding; Tree structure; Visual communication and image processing; Wavelet transform

Indexed keywords

EID: 0001053849     PISSN: 00913286     EISSN: None     Source Type: Journal    
DOI: 10.1117/1.600890     Document Type: Article

References (23)

1. A. Grossman and J. Morlet, "Decomposition of hardy functions into square integrable wavelets of constant shape," SIAM J. Math. 15, 723-736 (1984).
2. Y. Meyer, "Orthonomal wavelets," in Wavelets, Time-Frequency Method and Phase Space, pp. 21-37, Springer-Verlag, Berlin (1989).
3. I. Daubechies, "Orthogonal bases of compactly supported wavelets," Commun. Pure Appl. Math. 41, 909-996 (1988).
4. P.P. Vaidyanathan, "Quadrature mirror filter banks, M-band extensions and perfect reconstruction techniques," IEEE ASSP Mag. 4, 4-20 (1987).
5. P. J. Burt and E. H. Adelson, "The laplacian pyramid as a compact image code," IEEE Trans. Commun 31, 523-540 (1983).
6. S. G. Mallat, "A theory of multiresolution signal decomposition: The wavelet representation," IEEE Trans. PAMI. 11(7) 674-693 (1989).
7. K. Ramchandran and M. Vetterli, "Best wavelet packet bases in ratedistortion sense," IEEE Trans. Image Proc. 2, 160-175 (1994).
8. A. H. Tewfik, D. Sinha, and P. Jorgensen, "On the optical choice of a wavelet for signal representation," IEEE Trans. IT. 38, 747-765 (1992).
9. 1 (2,F[z. 1/z]) for F a subfield of C," J. Am. Math. Soc. 3, 611-624 (1990).
10. M. Antonini, M. Barlaud, P. Mathieu, and I. Daubechies, "Image coding using wavelet transform," IEEE Trans. Image Proc. 1(2), 205-220, Apr. (1992).
11. A. S. Lewis and G. Knowles, "Image compression using the 2-D wavelet transform," IEEE Trans. Image Processing 1, 244-250, Apr. (1992).
12. A. Pentland and B. Horowitz, "A practical approach to fractal-based image compression," in Visual Communication and Image Processing, Proc. SPIE 1605, 467-474 (1991).
13. J. L. Mannos and D. J. Sakrison, "The effects of a visual fidelity criterion on the encoding of images," IEEE Trans. IT. IT-20, 525-536 (1974).
14. N. B. Nill, "A visual model weighted cosine transform for image compression and quality assessment," IEEE Trans. Commun. COM-33, 551-557 (1985).
15. A. B. Watson, "DCT quantization matrices visually optimized for individual images," in Visual Communication and Image Processing, Proc. SPIE 1913, 202-216 (1993).
16. T. Markas and J. Reif, "Multispectral image compression algorithm," in Proc. Data Compression Conf., pp. 391-400, IEEE Computer Society Press, Snowbird, UT (1993).
17. J. M. Shapiro, "Embedded image coding using zerotrees of wavelet coefficients," IEEE Trans. Signal Proc. 41, 3445-3462, Dec. (1993).
18. Y. Kim, H. G. Kim, and K. T. Park, "New tree structure with conditional height difference for wavelet transform image coding," IEE Electronics Lett. 31(2), 90-91, Jan. (1995).
19. A. N. Akans and R. A. Haddad, Multiresolution Signal Decomposition, Academic Press, San Diego, CA (1992).
20. J. Sullivan, R. Miller, and G. Pios, "Image halftoning using a visual model in error diffusion," J. Opt. Soc. Am. 10, 1714-1724 (1993).
21. R. B. Ash, Information Theory, p. 21, Dover, New York (1990).
22. I. H. Witten, R. M. Neal, and J. G. Cleary, " Arithmetic coding for data compression," Commun. ACM 30, 30-44, June (1987).
23. H. J. Barnard, J. H. Weber, and J. Biemond, "Efficient signal extension of subband/wavelet decomposition of arbitrary length signal," in Visual Communication and Image Processing, Proc. SPIE 2094, 966-975 (1993).