Zerotree image coding

Image compression based on wavelets, using zerotrees of wavelet coefficients.
733 Downloads
Updated 26 Apr 2012

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Uses Wavelet and Quality Assessment toolboxes. The SPIHT binaries required for function spspiht.m can be downloaded from the SPIHT image compression homepage, see below.

Functions:
dead_zone_q - Quantisation with a central dead-zone around zero
ezw - EZW (Embedded Zerotree Wavelet) image compression
pdf_opt - Optimisation (pdf) of reconstructed values of quantised wavelet coefficients
spiht_stream_dec - Performs decoding of the bitstream produced by spiht_wpackets.m
spiht_wpackets - SPIHT image compression using Wavelet Packets (WP) decomposition
spspiht - Script for batch execution of DOS SPIHT binaries

DOS SPIHT binaries required for function spspiht.m can be found at SPIHT image compression homepage.

The source and some instructions are also on Github (under /ZerotreeCoding):
https://github.com/nsprljan/ImageCodingResearchTools
Fork it, send me a pull request with your patches or add issues.

Cite As

Nikola Sprljan (2024). Zerotree image coding (https://www.mathworks.com/matlabcentral/fileexchange/36408-zerotree-image-coding), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R13
Compatible with any release
Platform Compatibility
Windows macOS Linux
Categories
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Version Published Release Notes
1.1.0.0

Just made capitalization more consistent with respect to other submission

1.0.0.0