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Proceedings Paper

Research of laser active image-denoising method
Author(s): Jijun Luo; Jun Xu; Suxia Hou; Xiaofeng Li
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Paper Abstract

In this paper, an image-denoising method is presented based on mathematical morphology and wavelet transform. Highfrequency coefficients are processed by mathematical morphology firstly. Then, according to the respective characteristics, high frequency sub-band images at horizontal, vertical and angular directions are denoised by three different filter templates after wavelet transform. We take measures to protect edge information and detail of image. Experiment result shows that the noise of the image is removed effectively. At the same time, the detail of the image is kept well. The method has better denoising effect.

Paper Details

Date Published: 22 October 2010
PDF: 4 pages
Proc. SPIE 7658, 5th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optoelectronic Materials and Devices for Detector, Imager, Display, and Energy Conversion Technology, 76584L (22 October 2010); doi: 10.1117/12.865914
Show Author Affiliations
Jijun Luo, The Second Artillery Engineering College (China)
Jun Xu, The Second Artillery Engineering College (China)
Suxia Hou, The Second Artillery Engineering College (China)
Xiaofeng Li, The Second Artillery Engineering College (China)


Published in SPIE Proceedings Vol. 7658:
5th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optoelectronic Materials and Devices for Detector, Imager, Display, and Energy Conversion Technology
Yadong Jiang; Bernard Kippelen; Junsheng Yu, Editor(s)

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