Abstract:
In this paper, we propose a spatially adaptive noise removal algorithm using local statistics that consists of two stages: noise detection and removal. To corporate desir...Show MoreMetadata
Abstract:
In this paper, we propose a spatially adaptive noise removal algorithm using local statistics that consists of two stages: noise detection and removal. To corporate desirable properties into denoising process, the local weighted mean, local weighted activity, and local maximum are defined. With these local statistics, the noise detection function is defined and a modified Gaussian filter is used to suppress the detected noise components. The experimental results demonstrate the effectiveness of the proposed algorithm.
Published in: 28th Picture Coding Symposium
Date of Conference: 08-10 December 2010
Date Added to IEEE Xplore: 28 January 2011
ISBN Information: