International Journal of Electronics and Electrical Engineering ISSN : 2277-7040 Volume 2 Issue 9 (September 2012) http://www.ijecee.com/ https://sites.google.com/site/ijeceejournal/ 11 Compression Artifact Removal Using SAWS Technique Based On Fuzzy Logic Sonia Malik [1] , Nripender Singh [2] , Rohit Anand [3] [1] Department of Electronics and Communication Engineering ,NCCE , Panipat [2] Assistant Professor,Electronics and Communication Engineering,KITM, Karnal [3] Assistant Professor,Electronics and Communication Engineering, NCCE, Panipat, INDIA soniamalik88@gmail.com, nirpender@gmail.com, roh_anand@rediffmail.com Abstract. Many mobile devices compress images to meet limited bandwidth requirements and adopt Block Discrete Cosine Transform. This produces visually annoying artifacts in these highly compressed images. Most of the artifact reduction techniques blur the details of the images while removing coding artifacts. In this paper, we propose a novel and explicit approach for reducing coding artifacts in an image by using the combination of SAWS equation and Fuzzy Rules. We use FIDRM for the detection of noisy pixel and NAFSM filter for correction. Experimental results demonstrate that the proposed approach achieves excellent visual quality and PSNR as compared to a number of deblocking methods in the literature. Keywords: Block Based Discrete Cosine Transform (BDCT), Deblocking Block (DB), Fuzzy Impulse Artifact Detection and Reduction Method (FIDRM), Noise Adaptive Fuzzy Switching Median Filter (NAFSM) 1 Introduction Image compression is a very important issue in both image and video coding applications. The main purpose of image compression is to reduce storage and transmission costs while maintaining image quality[1].