DefinePK

Abstract

Nowadays, remote health care monitoring (RHCM) becomes an intense research area. In which medical signals and images needed to be transmit from patient to doctor and vice versa. In such a scenario image processing plays a vital role. Medical image in its raw form requires a lot of memory for storage. To cope up this in a remote health care monitoring system to develop image compression techniques to preserve image quality while transmission. There are various methods are used for this data compression like Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT). Among these DWT is for multi-resolution transformation and DCT for high energy compaction with less energy resources. In this paper we proposes a new algorithm for compressing cardiac image suitable for health care monitoring based on Minimized Matrix Size Algorithm and arithmetic encoder, decoder performs the better performance than slandered standalone JPEG based DCT and DWT algorithms in terms of compression ratio and peak signal to noise ratio (PSNR). At the receiving end the decompressing is performed based on limited sequential search algorithm. The proposed techniques are compared with Huffman encoder based algorithms. Experimental results confirm that performance of the proposed techniques is better than the conventional techniques.