Adaptive Video Denoising Based on Spatio-Temporal Combination

Hong Wei Di; Kai Han Zhang; Hui Gao

doi:10.4028/www.scientific.net/AMM.321-324.1230

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 321-324Adaptive Video Denoising Based on Spatio-Temporal...

Adaptive Video Denoising Based on Spatio-Temporal Combination

Abstract:

An algorithm of adaptive video denoising base on spatio-temporal combination is demonstrated. The adaptive threshold function is obtained through unary linear regression analysis combining interval estimation and hypothesis test. By motion detection to multi-frame images, still regions and motion regions of video image are distinguished through the adaptive threshold. Temporal weighted average filter to the still regions and spatial ANL filter to the motion regions are used separately. Experimental results show that the proposed algorithm works well.

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Periodical:

Applied Mechanics and Materials (Volumes 321-324)

Pages:

1230-1233

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.321-324.1230

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Online since:

June 2013

Authors:

Hong Wei Di, Kai Han Zhang, Hui Gao

Keywords:

Adaptive Threshold, Motion Detection, Spatio-Temporal Combination, Unary Linear Regression, Video Denoising

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