EXCEL International Journal of Multidisciplinary Management Studies
Year : 2013, Volume : 3, Issue : 7
First page : ( 89) Last page : ( 96)
Online ISSN : 2249-8834.

A new lossless compression scheme for medical images

Singla Abdesh, Singla Kulbhushan

Asst. Prof., GTBKIET, Chhapianwali

Online published on 4 September, 2013.

Abstract

Compression is the process of reducing the size of a file or of a media such as high-tech graphical images etc, by encoding its data information more efficiently. By doing this, there is a reduction in the number of bits and bytes used to store the information. Therefore, a smaller file or image size is generated in order to achieve a faster transmission of electronic files or digital images and a smaller space required for downloading. Compression is believed to be an important feature for a coding system meant to be used for medical applications[4], which largely compensates for the eventual loss in compression that could be implied. The medical images like Ultrasound, Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) contains large volume of data. These medical images produce the human body pictures in digital form and due to rapid growth in technology various mobile equipments has been developed for the medical treatments which uses digital medical images so it is very important to reduce the size of medical images. The efficiency should be very high in medical images because it can cause loss of a life so medical image compression requires negligible information loss. In this paper we have presented a new lossless improved fractal algorithm for compression of medical images. The proposed algorithm improves the compression ratio, time for compression and MSE values.

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Keywords

Compression Medical Images, PSNR, Entropy, Fractol.

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