Efficient detail-preserving method of impulse noise removal from highly corrupted images

Publisher Website
Google Scholar
Abstract
Images are often corrupted by impulse noise due to faulty image acquisition devices or during transmission. The goal of impulse noise removal is to suppress the noise while preserving edges and details. In this paper, an efficient method is proposed to remove impulse noise from a highly corrupted image while preserving the detail features. This new method is based on a detection-estimation strategy, in which the impulse noise is detected first using a quadratic filter, and a selectively chosen local mean is used to estimate the true value of the corrupted pixel. Simulation results indicate that the new method is much more efficient and effective than the median filtering and the out-range methods.

This publication has 0 references indexed in Scilit: