15 November 2007 Real-time video denoising arithmetic based on adaptive multi-layers background
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Proceedings Volume 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition; 678604 (2007) https://doi.org/10.1117/12.749662
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China
Abstract
A real-time video denoising algorithm based on adaptive multi-layers background is presented in this paper. The adaptive multi-layers background, which is aimed at the demand for video denoising, not only applies to static scene, but also applies to unstable scene. The modification of multi-layers background would be accomplished by a short-term adjustment after the scene changed. Based on the multi-layers background, the video denoising algorithm promotes the distinct vision of static scene and the short-term inactive region. The model of multi-layers background adjusts step by step adaptively. So it is not in need of a long-term delay and expensive computation. Experiments demonstrate the effectiveness of this algorithm.
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Xiaoyun Guo, Xiaoyun Guo, Weiming Shen, Weiming Shen, Qiong Wu, Qiong Wu, Xiaoping Huang, Xiaoping Huang, } "Real-time video denoising arithmetic based on adaptive multi-layers background", Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 678604 (15 November 2007); doi: 10.1117/12.749662; https://doi.org/10.1117/12.749662
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