Abstract

The Project proposes the region based Image compression technique based on clustering model and hybrid compression technique. The primary and secondary region of interest will be selected automatically by clustering algorithm. The lifting based discrete wavelet and Curvelet is used to decorrelate the pixels into fine as well as redundant or noisy data and edge details. The regions are encoded by lossless and lossy technique to increase the compression ratio and preserve the image quality. These methods are useful to compress data for transmission and telemedicine application

Paper Details