Improved fractal image compression using range block size

Abstract

This paper proposes a Improved Fractal image compression (IFIC) method for Color images carried out for variable block size. The image here is partitioned in to block by considering maximum and minimum size of the range. The proposed method divides color image into three RGB planes and applies fractal transformation with entropy coding. By applying the inverse transforms and iterative functions, the image is reconstructed at end. The results of the proposed method shows improvement in fractal compression scheme applied to both color and gray scale images. Here high CR and PSNR values are obtained compared to fixed range block size of 4 by 4 iterations and other existing methods. This algorithm achieves a compression ratio of up to 20 with a peak signal to noise ratio (PSNR) as high as 30dB.