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Abstract
The remarkable performance of the embedded zerotree wavelet (EZW) algorithm can be attributed to the use of the following features: (i) a discrete wavelet transform with tremendous energy compaction capability, which pro-vides a representation of the original image doing an excellent job of producing nearly uncorrelated coefficients; (ii) zerotree coding, which by predicting insignificance across scales using an image model that is easy for most images to satisfy, provides substantial coding gains over the first-order entropy for significance maps; (iii) ordered bit plane transmission, which provides a successive approximation of image sources and facilitates progressive image transmission; and (iv) adaptive arithmetic coding for entropy coding strings of symbols, which requires no training of any kind.
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CHAPTER 1
13 PAGES


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