JCS_V2_N3_RP2 Vikas Dilliwar G.R. Sinha Shrish Verma Journal on Communication Engineering and Systems 2277-5242 2 3 13 22 Fractal Image Compression, Iterative Function System, Java Parallel Processing Frame Work Digital representations of images usually require a very large number of bits. It is important to consider techniques for representing an image with fewer bits. In this context, we present a survey of Fractal image compression with parallel encoding scheme. The Fractal image compression (FIC) is a novel technique in the field of image compression that utilizes the existence of self symmetry of the image. The unique feature of the fractal image compression technique is its very good compression ratio, high decompression speed, high bit-rate and resolution independence. However, this technique of image compression requires large encoding time. We propose a parallel computing architecture to reduce the computational cost that is associated with encoding phase. We have discussed fractal image compression, Iterative function system and different encoding schemes along with their reviews. We have also suggested the concept of parallelization to be applied in compression methods for efficient implementation. May - July 2013 Copyright © 2013 i-manager publications. All rights reserved. i-manager Publications http://www.imanagerpublications.com/Article.aspx?ArticleId=2332