The Application Of Discrete Wavelet Transform In Medical Image Compression

Data compression techniques plays a vital role in the research area of digital image processing. It involves the processing of digital images with the combined assistance of computer and mathematics. In digital image processing, one can manipulate the images by pre-processing, image enhancement and display. Here we proposed a technique ‘Discrete Wavelet Transform’ (DWT) for the compression of medical images. The images that adopted for compression are medical images. Medical images needs a lot of space to maintain the medical records of a patient in a hospital. In the presented work here the DWT compression technique is applied to the magnetic resonance imaging (MRI) image of brain. The number of wavelets of DWT family is employed for this purpose. First the image under consideration is decomposed by the sub-band coding technique of DWT, and then applied the Embedded Zerotree Wavelet (EZW) encoding scheme. A comparative study is also done on all the resultant images in terms of Mean Square Error (MSE), Peak Signal to Noise Ratio (PSNR), Compression Ratio (CR) and Bits Per Pixel (BPP). In the presented study, Haar wavelet gives the better compression of MRI image. All the processing is done by well-known mathematical tool MATLAB.