Real-time video denoising arithmetic based on adaptive multi-layers background

Xiaoyun Guo; Weiming Shen; Qiong Wu; Xiaoping Huang

doi:10.1117/12.749662

15 November 2007 Real-time video denoising arithmetic based on adaptive multi-layers background

Xiaoyun Guo, Weiming Shen, Qiong Wu, Xiaoping Huang

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.

Citation Download Citation

Xiaoyun Guo, Weiming Shen, Qiong Wu, and 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); https://doi.org/10.1117/12.749662

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KEYWORDS

Video

Denoising

Motion models

Data modeling

Detection and tracking algorithms

Filtering (signal processing)

Motion detection

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