Video Noise Estimation Based on Block Neighborhood Relevance

Hong Wei Di; Shu Meng Zheng; Hui Gao

doi:10.4028/www.scientific.net/AMR.694-697.1983

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Video Noise Estimation Based on Block Neighborhood Relevance

Abstract:

Aimed at Gaussian white noise, a video noise estimation algorithm based on block neighborhood relevance is demonstrated. Firstly, a differential operator is taken between two sequential video frames. Then, the smooth blocks are selected between original video and differential video based on block neighborhood relevance. Finally, by computing the weighted average of the noise variance of the smooth blocks, the noise variance estimation is achieved. Experimental results show that the proposed algorithm works well.