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Proceedings Paper

Analysis of oversampling for noise reduction of UV image
Author(s): Fei Liu; Yonggang Yuan; Nengbin Cai; Baisong Ye; Xiangyang Li
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Paper Abstract

Noise pollution is often introduced during image data acquisition and transmission process. Oversampling technology and algorithm used to improved moving average are applied to reduce noise in UV image project. Both theoretical analysis and Matlab simulations results show that this technology is effective. Considering a virtual signal consisting of Gaussian noise, the new algorithm make the signal’s mean square error (MSE) reduces from 0.01 to 0.0038, which are better than traditional algorithm.

Paper Details

Date Published: 15 October 2012
PDF: 6 pages
Proc. SPIE 8419, 6th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optoelectronic Materials and Devices for Sensing, Imaging, and Solar Energy, 841913 (15 October 2012); doi: 10.1117/12.975669
Show Author Affiliations
Fei Liu, Shanghai Institute of Technical Physics (China)
Graduate Univ. of Chinese Academy of Sciences (China)
Yonggang Yuan, Shanghai Institute of Technical Physics (China)
Nengbin Cai, Shanghai Key Lab. of Criminal Scene Evidence (China)
Baisong Ye, Shanghai Institute of Technical Physics (China)
Graduate Univ. of Chinese Academy of Sciences (China)
Xiangyang Li, Shanghai Institute of Technical Physics (China)


Published in SPIE Proceedings Vol. 8419:
6th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optoelectronic Materials and Devices for Sensing, Imaging, and Solar Energy
Yadong Jiang; Junsheng Yu; Zhifeng Wang, Editor(s)

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