Image Restoration Based on Edgemap and Wiener Filter for Preserving Fine Details and Edges
S. Syed Suhaila, Testuya Shimamura · 2011
Abstract—This paper presents a method for removing noise while preserving the image fine details and edges in blind condition, based on the Wiener filter and a constructed edgemap. The noisy image is denoised with different weights of Wiener filtering to generate two restored images; one with highly reduced noise, and the other with preserved fine details and edges. The edgemap image is constructed directly from the noisy image by using a new edge detection method. The Wiener filtered images and the edgemap are utilized to generate the final restored image. Simulations with natural images contamina- ted by noise demonstrate that the proposed method works effectively over a different range of noise levels. A performance comparison with other Wiener filter-based denoising methods and the state-of-the-art denosing methods is also made.