SanRam/spiht-image-compression

Version 1.0.0.0 (1.55 MB) by santhosh Ramaiah
Image Compression Using SPIHT Algorithm.
5.0
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411 Downloads
Updated 15 Aug 2017
View License on GitHub

The proposed scheme is applied to a set of grey scale. The Wavelet transform is applied to an input image. The wavelet transform employs one filter bank in two-dimensional (2-D) slice direction. The wavelet coefficients obtained from 2D wavelet transform are then compressed using Set Partitioning in Hierarchical Trees (SPIHT) algorithm. The SPIHT technique is based on a wavelet transform and differs from conventional wavelet compression only in how it encodes the wavelet coefficients. The encoded data is again compressed using Huffman algorithm. The Huffman algorithm is based on variable length coding technique. The compressed data can be decompressed using Huffman decoder, SPIHT decoder and Inverse two dimensional wavelet transform without much loss of original information.

Cite As

santhosh Ramaiah (2024). SanRam/spiht-image-compression (https://github.com/SanRam/spiht-image-compression), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2012b
Compatible with any release
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GUI_Spiht_Working

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Version Published Release Notes
1.0.0.0

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.