Improved wiener estimator in image denoising

Abstract

Visual information transmitted in the form of digital images is becoming a major method of communication in the modern age, but the image obtained after transmission is often corrupted with noise. The received image needs processing before it can be used in applications. Image denoising involves the manipulation of the image data to produce a visually high quality image. This thesis improves the wiener filter denoising method. Six different improvements are presented. It will be shown that the best improvement is achieved by using the fourth order nonlinear wiener filter with quad-tree decomposition and median absolute deviation. It will be shown that this new algorithm is comparable to other algorithms like BM3D, LPG-PCA, and KSVD.