WAVELET BASED COMPRESSION OF BIOLOGICAL IMAGES

This paper is focused on selecting the most appropriate wavelet function for a given type of biological image. As a lot of hospitals handle their biological image data with computers. The amount of data produced by different techniques such as MRI, CT scan, ultrasound etc is vast and this might be a problem when sending the data over a network. To overcome this problem image compression has been introduced in the field of medical. The compression techniques can be categorized as, focusing on just a lossless compression method, on just a lossy compression method, or focusing on both. Here we shall propose an approach to improve the performance of medical image compression while satisfying both the medical team who need to use it, and the legal team who need to defend the hospital against any malpractice resulting from misdiagnosis owing to faulty compression of medical images.