Research Paper | Computer Science & Engineering | India | Volume 3 Issue 6, June 2014
Hybrid Fractal Image Compression Using Quadtree Decomposition with Huffman Coding
Shweta Pandey | Megha Seth 
Abstract: Fractal Image Compression is an approach for better image compression. The objective of this approached method is to introduce simplify and to provide better hybrid color image compression; which consist of Quadtree Decomposition and Huffman Coding. In this propose a method Fractal image compression is done by quadtree decomposition. In Quadtree method the block size varies according to the features of the image and separated into different blocks. After Fractal Image; Huffman Coding is applied in the compressed image thats how its performance will get improved. Different quantitative measures can be found by passing images of different format and dimensions; and on the basis of those quantitative measures which image format is better for compression.
Keywords: Lossy data compression, Lossless data compression, Fractal image compression, Quadtree image compression, Huffman coding
Edition: Volume 3 Issue 6, June 2014,
Pages: 943 - 948
How to Cite this Article?
Shweta Pandey, Megha Seth, "Hybrid Fractal Image Compression Using Quadtree Decomposition with Huffman Coding", International Journal of Science and Research (IJSR), Volume 3 Issue 6, June 2014, pp. 943-948, https://www.ijsr.net/get_abstract.php?paper_id=2014362
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