The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
An image multiresolution representation for lossless and lossy compression
Abstract
We propose a new image multiresolution transform that is suited for both lossless (reversible) and lossy compression. The new transformation is similar to the subband decomposition, but can be computed with only integer addition and bit-shift operations. During its calculation, the number of bits required to represent the transformed image is kept small through careful scaling and truncations. Numerical results show that the entropy obtained with the new transform is smaller than that obtained with predictive coding of similar complexity. In addition, we propose entropy-coding methods that exploit the multiresolution structure, and can efficiently compress the transformed image for progressive transmission (up to exact recovery). The lossless compression ratios are among the best in the literature, and simultaneously the rate versus distortion performance is comparable to those of the most efficient lossy compression methods.
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Cites
The Laplacian pyramid as a compact image code
Burt, P., & Adelson, E. (1983) · IEEE Transactions on Communications · doi:10.1109/tcom.1983.1095851 · Cited by 6,077
A new, fast, and efficient image codec based on set partitioning in hierarchical trees
Said, A., & Pearlman, W. A. (1996) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/76.499834 · Cited by 5,353
Self-citationEmbedded image coding using zerotrees of wavelet coefficients
Shapiro, J. M. (1993) · IEEE Transactions on Signal Processing · doi:10.1109/78.258085 · Cited by 4,815
The JPEG still picture compression standard
Wallace, G. K. (1991) · Communications of the ACM · doi:10.1145/103085.103089 · Cited by 3,784
Arithmetic coding for data compression
Witten, I. H., Neal, R. M., & Cleary, J. G. (1987) · Communications of the ACM · doi:10.1145/214762.214771 · Cited by 2,877
Woods, J., & O'Neil, S. (1986) · IEEE Transactions on Acoustics, Speech, and Signal Processing · doi:10.1109/tassp.1986.1164962 · Cited by 1,016
Orthogonal Pyramid Transforms For Image Coding.
Adelson, E. H., Simoncelli, E., & Hingorani, R. (1987) · SPIE Proceedings · doi:10.1117/12.976485 · Cited by 292
Reversible intraframe compression of medical images
Roos, P., Viergever, M. A., van Dijke, M. C. A., & Peters, J. H. (1988) · IEEE Transactions on Medical Imaging · doi:10.1109/42.14516 · Cited by 184
Parameter reduction and context selection for compression of gray-scale images
Todd, S. J. P., Langdon, G. G., & Rissanen, J. (1985) · IBM Journal of Research and Development · doi:10.1147/rd.292.0188 · Cited by 81
Cited by
Marcellin, M. W., Gormish, M. J., Bilgin, A., & Boliek, M. P. (2002) · Proceedings DCC 2000. Data Compression Conference · doi:10.1109/dcc.2000.838192 · Cited by 405
Metadata
- Authors
- Said, A., & Pearlman, W. A.
- Venue
- IEEE Transactions on Image Processing
- Published
- 1996
- Volume
- 5
- Issue
- 9
- Pages
- 1303-1310
- ISSN
- 1057-7149 (ISSN-L)
- OpenAlex
- W2138674095
- Cited by
- 619
- References
- 9
- FWCI
- 28.99
- Type
- journal article
- Language
- en
- Open access
- closed
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