Abstract
In many analytical applications the reuse of medical images plays an important role. In order to store the images, image compression is the technique used to save the storage space and the storage time. The image compression is used in image transmission for the fast transmission. Also in health care sector the compressed image helps to make it complete computerized. The noise interference is the major problem in the image compression. Thus some compression techniques are used to remove the noise added in medical images. This will improve the quality of the compressed image. In image compression the medical image can be processed in deep degree by de-noising, edge preservation and high compression rate. The aim of the paper is develop an efficient computational tetrolet transform, which can be used in lossless compression. For analysis purpose various wavelet techniques are used and result is compared with this techniques. From the analysis it is inferred that by proposed technique is able to achieve a high quality images with low noise.
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