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Proceedings Paper

A wavelet HD-video de-noising system with frame rate conversion
Author(s): Qiaojie Huang; Jiancheng Liu; Xianling Xu
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Paper Abstract

Real-time video de-noising is an active research topic in video surveillance application, aimed at improving the degraded video’s quality. In this paper, the key methods of frame rate conversion and wavelet de-noising during video processing are studied and a real-time wavelet HD-video (High Definition) de-noising system based on FPGA (Field Programmable Gate Array) platform is designed. With frame rate conversion module, 3-level wavelet transform, and BayesShrink adaptive threshold filtering, the proposed system achieves a real-time HD-video de-noising processing with better performance. Experiments show that this system can satisfy the requirements of varieties of input video source formats and real-time processing, and the peak signal to noise rate of the de-noising images is significantly improved.

Paper Details

Date Published: 29 August 2016
PDF: 9 pages
Proc. SPIE 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016), 100335H (29 August 2016); doi: 10.1117/12.2245114
Show Author Affiliations
Qiaojie Huang, Guangdong Agriculture Industry Business Polytechnic (China)
Jiancheng Liu, Guangdong Agriculture Industry Business Polytechnic (China)
Xianling Xu, Guangdong Agriculture Industry Business Polytechnic (China)


Published in SPIE Proceedings Vol. 10033:
Eighth International Conference on Digital Image Processing (ICDIP 2016)
Charles M. Falco; Xudong Jiang, Editor(s)

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