A Novel Image Compression Technique Based

Rakesh Kumar Lodhi Lodhi, Gajendra Singh Chandel, Kailash Patidar


Compression ratio is very important factor of image compression technique. The compression ratio shows speed of image compression technique. Fractal image coding based compression technique is very slow in compression process. Fractaltransforms function based on symmetry properties of block in compression process. The symmetry process of block reduces the structure of redundant frames of block. The process of redundant block extraction and searching is very slow, now improvement of search and classification of redundant block used centrifugal force optimization technique. Centrifugal force optimization is heuristic function work in distributed terms in mass of different block of frames. in this paper proposed hybrid method of image compression based on fractal image coding and centrifugal force optimization for the searching of redundant frame for optimization. the proposed algorithm implemented in MATLAB software and test compression ratio on some reputed image such as Lena ,Barbara and cameraman. Our empirical results compare with jpeg compression technique and FIC technique. Our result shows better compression ratio and PSNR value.


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