Remove the Noise from Medical Images Using Discrete Wavelet Transform

The quality of medical image is degraded by many sources of noise such as imperfect instruments, interference from natural phenomena, data acquisition and transmission errors. In MRI images, the image is degraded mainly by Gaussian noise and Salt and Pepper noise respectively. Suppressing noise from medical image is still a challenging problem for the medical researchers and practitioners. There are lots of denoising techniques have been developed over a period. Wavelet gaining popularity in the area of medical image denoising due to its sparsity and multiresolution properties. The Discrete Wavelet Transform (DWT), which is based on sub-band coding is found to yield a fast computation of Wavelet Transform. Keywords-Discrete wavelet transform, Gaussian noise, Image denoising, Salt and Pepper noise, Wavelet transform.