Analysis of oversampling for noise reduction of UV image

Fei Liu; Yonggang Yuan; Nengbin Cai; Baisong Ye; Xiangyang Li

doi:10.1117/12.975669

15 October 2012 Analysis of oversampling for noise reduction of UV image

Fei Liu, Yonggang Yuan, Nengbin Cai, Baisong Ye, Xiangyang Li

Proceedings Volume 8419, 6th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optoelectronic Materials and Devices for Sensing, Imaging, and Solar Energy; 841913 (2012) https://doi.org/10.1117/12.975669
Event: 6th International Symposium on Advanced Optical Manufacturing and Testing Technologies (AOMATT 2012), 2012, Xiamen, China

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.

Citation Download Citation

Fei Liu, Yonggang Yuan, Nengbin Cai, Baisong Ye, and Xiangyang Li "Analysis of oversampling for noise reduction of UV image", 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); https://doi.org/10.1117/12.975669

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