The Performance Of Fractal Image Compression On Different Imaging Modalities Using Objective Quality Measures

In the arena of, high speed data transmission and requirement of large data to store in minimum available space, compression is very prominent aspect. There are various techniques, which have been applied for this purpose. One of most useful technique is fractal image compression. In which the main errand is to lessen the transmission time and storage capacity. In this paper, the primary objective is to determine the performance of fractal image compression using quad-tree decomposition applied on different modalities, using objective quality factors such as mean square error, Peak Signal to Noise Ratio (PSNR), average difference, max difference, normalized co-relation, mean absolute error, structural co-relation. From the repercussion we observed that, proposed method has better results than the existing technique. Keywords— Quad-tree Partitioning (QP), Peak Signal Noise Ratio (PSNR), Mean Square Error (MSE), Normalized Absolute Error (NAE) __________________________________________________*****_________________________________________________