Spatially Adaptive Noise Removal Algorithm Using Local Statistics

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概要

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• In this letter, we propose a spatially adaptive noise removal algorithm using local statistics. The proposed algorithm consists of two stages: noise detection and removal. In order to solve the trade-off between the effective noise suppression and the over-smoothness of the reconstructed image, local statistics such as local maximum and the local weighted activity is defined. With the 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.

• （社）電子情報通信学会の論文
• 2011-01-01

著者

• HONG Min-Cheol

  School of Electronic Engineering, Soongsil University

• Hong Min-cheol

  School Of Electronic Engineering Soongsil University

• Nguyen Tuan-anh

  School Of Electronic Engineering Soongsil University

• Song Won-seon

  School Of Electronic Engineering Soongsil University

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• Spatially Adaptive Noise Removal Algorithm Using Local Statistics
• Low-Hardware-Cost Motion Estimation with Large Search Range for VLSI Multimedia Processors(Image Processing and Video Processing)

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