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Fast and efficient Gaussian noise image restoration algorithm by spatially adaptive filtering

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3 Author(s)
Tuan-Anh Nguyen ; Sch. of Electron. Eng., Soongsil Univ., Seoul, South Korea ; Myoung-Jin Kim ; Min-Cheol Hong

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:

Picture Coding Symposium (PCS), 2010

Date of Conference:

8-10 Dec. 2010