Embedded Image Coding Using Zerotrees of Wavelet Coefficients
Jerome M. Shapiro, The author is with the David Sarnoff Research Center, Princeton, NJ 08543.; IEEE Log Number 9212175.
Abstract
The embedded zerotree wavelet algorithm (EZW) is a simple, yet remarkably effective, image compression algorithm, having the property that the bits in the bit stream are generated in order of importance, yielding a fully embedded code. The embedded code represents a sequence of binary decisions that distinguish an image from the “null” image. Using an embedded coding algorithm, an encoder can terminate the encoding at any point thereby allowing a target rate or target distortion metric to be met exactly. Also, given a bit stream, the decoder can ...
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