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Memory constrained wavelet based image coding

delete1998-09-01
delete24
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OA
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P
Pamela C. Cosman *
K
K. Zeger
DOI:10.1109/97.712104delete
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Abstract

Abstract

En 中文
We present a method for ordering the wavelet coefficient information in a compressed bitstream that allows an image to be sequentially decoded, with lower memory requirements than conventional wavelet decompression schemes. We also introduce a hybrid filtering scheme that uses different horizontal and vertical filters, each with different depths of wavelet decomposition. This reduces decoder memory requirements by reducing the instantaneous number of wavelet coefficients needed fbr inverse filtering.
Keywords:
color image coding
data compression
source coding
wavelet transforms
zerotrees
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AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

IEEE Signal Processing Magazine cover
IEEE Signal Processing Magazine
IF:
9.6
Papers:
1.1W
Citations:
1.7W

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Cited Papers

Cited Papers

Miscellaneous Mistletoe Notes, 20-36
err1996-01-01
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errOAAI
errJob Kuijt; Elizabeth A. Kellogg
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