Embedded zerotrees of wavelet transforms: Difference between revisions

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 Copy-editing: ... (EZW) as developed by J. Shapiro in 1993, enables scalable image transmission and decoding. It is based on four key concepts: first, it should be a discrete wavelet transform or hierarchical subband decomposition; second, it should p.
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== Introduction ==
'''Embedded zerotree wavelet algorithm''' (EZW) isas developed by J. Shapiro in 1993. This method, enables scalable image transmission and decoding. And itIt is based on four key concepts. At: first, it should be a discrete wavelet transform or hierarchical subband decomposition.; Secondsecond, it should predict the absence of significant information when exploring the self-similarity inherent in images.; Thirdthird, it has entropy-coded successive-approximation quantization., and Lastfourth, it is enable to achieve universal lossless data compression via adaptive arithmetic coding.
 
Besides, the EZW algorithm also contains the following features: