期刊名称：Signal & Image Processing : An International Journal (SIPIJ)
印刷版ISSN：2229-3922
电子版ISSN：0976-710X
出版年度：2012
卷号：3
期号：2
页码：207
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Fractal image compression can be obtained by dividing the original grey level image into unoverlappedblocks depending on a threshold value and the well known techniques of Quadtree decomposition. By usingthreshold value of 0.2 and Huffman coding for encoding and decoding of the image these techniques havebeen applied for the compression of satellite imageries. The compression ratio (CR) and Peak Signal toNoise Ratio (PSNR) values are determined for three types of images namely standard Lena image, SatelliteRural image and Satellite Urban image. The Matlab simulation results show that for the Quad treedecomposition approach shows very significant improvement in the compression ratios and PSNR valuesderived from the fractal compression with range block and iterations technique. The results indicatethat for a Lena image C R is 2.02 and PSNR values is 29.92, Satellite Rural image 3.08 and 29.34,Satellite urban image 5.99 and 28.12 respectively The results are presented and discussed in this paper.
