1994
DOI: 10.1117/12.185991
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<title>Wavelet image compression using IIR minimum variance filters, partition priority, and multiple distribution entropy coding</title>

Abstract: Image compression methods for progressive transmission using optimal subband/wavelet decomposition, partition priority coding (PPC) and multiple distribution entropy coding (MDEC) are presented. In the proposed coder, hierarchical wavelet decomposition of the original image is achieved using wavelets generated by liii minimum variance filters. The smoothed subband coefficients are coded by an efficient triple state DPCM coder and the corresponding prediction error is Lloyd-Max quantized. The detail coefficient… Show more

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Cited by 9 publications
(3 citation statements)
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“…We need to satisfy equation (6) to have orthogonality between the scaling and the wavelet filters. We also need to satisfy the orthogonality condition in equation (3), and the high pass property ofequation (9).…”
Section: The Wavelet Filtermentioning
confidence: 99%
See 1 more Smart Citation
“…We need to satisfy equation (6) to have orthogonality between the scaling and the wavelet filters. We also need to satisfy the orthogonality condition in equation (3), and the high pass property ofequation (9).…”
Section: The Wavelet Filtermentioning
confidence: 99%
“…and H(z1)G(z)+H(z1)G(z)=O (6) H(z1 )G(z) +H(-z1 )((z) = 0 To remove aliasing and guarantee Perfect Reconstruction (PR), the relationship between the analysis and synthesis filters is given by [1 1):…”
Section: Introductionmentioning
confidence: 99%
“…Alternately, each component may be coded according to the JPEG standard. Wavelet=subband techniques [11,27] for the coding of disparity ÿeld information were examined as a third alternative. More speciÿcally the ÿlters described in [11] were used to obtain a hierarchical decomposition of each disparity ÿeld into three levels.…”
Section: Coding Of Isolated (I-frame) Depth=disparity Mapsmentioning
confidence: 99%