29 August 2016 A wavelet HD-video de-noising system with frame rate conversion
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Proceedings Volume 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016); 100335H (2016) https://doi.org/10.1117/12.2245114
Event: Eighth International Conference on Digital Image Processing (ICDIP 2016), 2016, Chengu, China
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.
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Qiaojie Huang, Jiancheng Liu, Xianling Xu, "A wavelet HD-video de-noising system with frame rate conversion", Proc. SPIE 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016), 100335H (29 August 2016); doi: 10.1117/12.2245114; https://doi.org/10.1117/12.2245114
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