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Wavelet-Based Image Compression using the Algorithm of Set Partitioning in Hierarchical Trees

$20.00

MATLAB Code for Wavelet-Based Image Compression using the Algorithm of Set Partitioning in Hierarchical Trees (SPIHT)

Description

Set Partitioning in Hierarchical Trees (SPIHT) codes the individual bits of the image wavelet transform coefficients following a bit-plane sequence. Thus, it is capable of recovering the image perfectly (every single bit of it) by coding all bits of the transform.SPIHT exploits the wavelet-transformed images to increase its efficiency

Input

"Joint Photographic Experts Group." (JPEG) is a popular image file format. It is commonly used by digital cameras to store photos.

Output

In this work the original image is converted into compressed image using SPIHT methods.

Tags

#Compression, #Wavelet, #transforms, #Image compression, #algorithm, #JPEG image, #SPIHT #Encoding, #Decoding, #codes, #individual,# bits, #image, #wavelet, #transform, #coefficients #bit, #plane, #sequence, #recovering, #image, #increase, #efficiency,# advantages,# separate,# signal,# contrast,# JPEG,# divide,# image,# analyze,# whole,# image,# transform,# applied,# sub,# images,# produces,# blocking,# artifacts,# robust,# transmission,# decoding,# errors,

Reference

[1]P. Kamra and S. Kaur, "Improved Image compression Techniques using Median Filter DWT-SPIHT based on Huffman coding", International journal of Emerging Trends in Science and Technology, 2015. Available: 10.18535/jets’/v2i9.02. [2]A. Said and W. Pearlman, "A new, fast, and efficient image codec based on set partitioning in hierarchical trees", IEEE Transactions on Circuits and Systems for Video Technology, vol. 6, no. 3, pp. 243-250, 1996. Available: 10.1109/76.499834.