Fractal Image Compression Based On Entropy Technique
Jamila H. Suad · IOSR Journal of VLSI and Signal processing · 2013
Our proposed approach presents a method to reduce the encoding time called Fast Algorithm of Fractal Image Compression based on Entropy Values (FAFICEVs). This technique will be reducing the size of the domain pool.FFICEVs technique is based on the observation that many blocks domain are never used in a typical fractal encoding, and only a fraction of this large domain pool is actually used in the fractal coding.The collection of used domain blocks is localized in regions with high degree of structure.This technique focuses on the implementation issues and presents the first empirical experiments analyzing the performance of benefits of entropy approach to fractal image compression.The experiment is carried out with technique of quadtree partitioning, allowing up to three (4x8, 4x16, and 8x16 pixel) is examined.The new algorithm gives a good quality of reconstructed image with speeding in encoding time.