Share Email Print

Proceedings Paper

Real-time video denoising arithmetic based on adaptive multi-layers background
Author(s): Xiaoyun Guo; Weiming Shen; Qiong Wu; Xiaoping Huang
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper 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.

Paper Details

Date Published: 15 November 2007
PDF: 9 pages
Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 678604 (15 November 2007); doi: 10.1117/12.749662
Show Author Affiliations
Xiaoyun Guo, Wuhan Univ. (China)
Weiming Shen, Wuhan Univ. (China)
Qiong Wu, Wuhan Univ. (China)
Xiaoping Huang, Wuhan Univ. (China)

Published in SPIE Proceedings Vol. 6786:
MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition
Tianxu Zhang; Tianxu Zhang; Carl Anthony Nardell; Carl Anthony Nardell; Hanqing Lu; Duane D. Smith; Hangqing Lu, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?