Revision as of 11:34, 22 January 2016 edit Gareth Griffith-Jones (talk \| contribs) Extended confirmed users, Pending changes reviewers, Rollbackers 89,539 edits 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. ← Previous edit		Revision as of 01:07, 19 February 2017 edit undo Wavelength (talk \| contribs) Extended confirmed users, Pending changes reviewers 179,502 edits correcting spelling—wikt:enabled—User:Wavelength/About English/D-dropping Next edit →
Line 14: == Introduction == '''Embedded zerotree wavelet algorithm''' (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 predict the absence of significant information when exploring the self-similarity inherent in images; third, it has entropy-coded successive-approximation quantization, and fourth, it is ~~enable~~enabled to achieve universal lossless data compression via adaptive arithmetic coding. Besides, the EZW algorithm also contains the following features:

Embedded zerotrees of wavelet transforms: Difference between revisions