fractal Image compression using Quadtree decomposition and huffman coding

Versione 1.1.0.0 (55 KB) da Arun Kumar
Quadtree decomposition and Huffman techniques can be applied for achieving high compression ratio
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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.

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Arun Kumar (2025). fractal Image compression using Quadtree decomposition and huffman coding (https://it.mathworks.com/matlabcentral/fileexchange/46102-fractal-image-compression-using-quadtree-decomposition-and-huffman-coding), MATLAB Central File Exchange. Recuperato .

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fractal image compression using Quadtree decomposition and huffman coding/

Versione Pubblicato Note della release
1.1.0.0

algorithm modified

1.0.0.0