fractal Image compression using Quadtree decomposition and huffman coding

Version 1.1.0.0 (55 KB) by Arun Kumar
Quadtree decomposition and Huffman techniques can be applied for achieving high compression ratio
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Updated 6 Jun 2014

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Image storage and transmission have created an increasing importance for the compression
techniques. The redundancy and similarity among different regions of images makes compression
feasible. In such cases Fractal compression of images is an efficient method of compression Fractal image compression can be obtained by dividing the original grey level image into unoverlapped blocks depending on a threshold value and the well known techniques of Quadtree decomposition.

Cite As

Arun Kumar (2024). fractal Image compression using Quadtree decomposition and huffman coding (https://www.mathworks.com/matlabcentral/fileexchange/46102-fractal-image-compression-using-quadtree-decomposition-and-huffman-coding), MATLAB Central File Exchange. Retrieved .

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Created with R2013a
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fractal image compression using Quadtree decomposition and huffman coding/

Version Published Release Notes
1.1.0.0

algorithm modified

1.0.0.0