Denoising and Compression of Medical Image in Wavelet 2D

Medical Images normally have a problem of high level components of noises. Image denoising is an important task in image processing, use of wavele t transform imp r oves the quality of an image and reduces noise level. Here image is first loaded in biorthogonal wavelet and level 3 decomposition using Wavelet 2D transforms , then the level of soft threshold is selected for reducing the noise in the image . Hard threshold kill s the procedure. Soft thresholding shrinks the coefficients above the threshold in absolute value. Here a mechanism is use d in medical image compression and de - noising methods that are based on of wavelet decompositions without sacrificing clarity of original image . T he mechanism describes horizontal, vertical and diagonal details . It is shown that, if noisy medical image can be taken using two mechanisms we can de - noise and compressed that medical image