Abstract: Image compression plays vital role in many important and adverse applications including tele video conferencing, remote sensing, and document, medical and facsimile transmission. The need for an efficient technique for compression of images ever increasing because the raw images need large amounts of disk space seems to be a big disadvantage for channel efficiency during transmission and storage. Nowadays there are so many compression techniques already available- a better technique which is faster, memory efficient and simple surely suits the requirements of the user. In this paper the spatial redundancy method of image compression using a simple transform technique called Discrete Cosine Transform is proposed with Huffman coding. So this hybrid technique is simple in implementation and utilizes less memory and required less execution time. A software algorithm has been developed and implemented to compress the medical image using Discrete Cosine Transform technique in a MATLAB platform. The proposed algorithm works on different coefficients (10,15,20,30,40,50,60,61,62,63 and 64) values individually. After compression for each coefficient value we have calculated the CR (compression ratio) and PSNR (peak signal to noise ratio) and optimum results are obtained. The analysis of results obtain has been carried out with the help of CR and PSNR.
Keywords: Image compression, DCT, IDCT, DCT2, IDCT2, CR, PSNR, Redundancy.
Title: Medical Image Compression Using Two Dimensional Discrete Cosine Transform
Author: Vivek Arya, Dr. Priti Singh, Karamjit Sekhon
International Journal of Electrical and Electronics Research
ISSN 2348-6988 (online)
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