A NOVEL K-MEANS BASED JPEG ALGORITHM FOR STILL IMAGE COMPRESSION

Use of Digital Image Communication has increased exponentially in the recent years. Joint Photographic Experts Group (JPEG) is the most successful still image compression standard for bandwidth conservation. Evidently JPEG Compression system consists of a DCT transformation unit followed by a quantizer and encoder unit. At the decoder end, image is created by inverse DCT. In this paper, we present a set of new JPEG Compression algorithms that combines K-Means clustering algorithm and DCT to further reduce the bandwidth requirements. Experiments are carried out with many standard still images. Our algorithm identified to be giving almost same Peak Signal-to-Noise Ratio (PSNR) as the standard JPEG algorithm.