Abstract

Medical image compression serves an important role in hospitals and medical centers as they concentrate on acquiring digital images for various medical applications .Image compression results in reducing the size of the files for effective storage requirement during the diagnosis of relevant clinically critical information. Image compression can be classified into two types namely lossy compression and lossless compression .Lossy compression techniques are avoided for medical image compression as it is concerned with critical regions which are termed as region of interest because they result in the loss of useful medical information and also process such as enhancement can reduce the information content of an image in lossy compression. Lossy compression techniques compress images with the high compression ratio. Lossless coding techniques compress images with acceptable compression ratio. . Digitized medical images are to be compressed by method which overcomes the redundancy of the images and decreases the number of the bits required to represent the medical image with acceptable information loss of the decoded image. Restorative Imaging confronts the difficulties of having pressure calculation which can diminish the loss of data in a picture, in the meantime it expands the pressure rate for lessening of capacity prerequisite and the span for transmission and this gets to be productive .This paper highlights the correlation of pressure methods, for example, jpeg2000,jpeg-ls and Lsphit calculation on the premise of pressure proportion and the nature of the picture after pressure.

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