Performance Analysis of Different Fractal Image Compression Techniques

Abstract

The FIC has the disadvantage of high computational cost. This paper outlines the comparison of different encoding methods to reduce computational complexity while retaining the quality of the image is retrieved. To increase the PSNR of full search method (BFIC), EP-NRS method is introduced in which image is partitioned into range and domain blocks of similar edge property. Then they are mapped to lowest DCT coefficient in a vertical and horizontal direction into 2D coordinate System. In another method new FIC scheme is proposed based on the fact that affine similarity between two blocks is equivalent to the absolute value of Pearson’s correlation coefficient (APCC) between them. In comparing to the original technique, the APCC based method gave number of MSE computations less, high PSNR value and high compression ratio in image quality which is acceptable.