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Proceedings Paper

Continuous-wave THz image denoising based on Markov random field and simulated annealing algorithm
Author(s): Qi Li; Qiguo Yin; Rui Yao; Qi Wang
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Paper Abstract

In Terahertz continuous-wave laser scanning imaging system, the laser output power's fluctuation and the aperture effects of a finite focus diameter have significant influence on the image quality, which reduces the image resolution and causes the imaging noise. The most common problem of image denoising is that some interesting structures in the image will be removed from the concerned image during noise suppression. Because Markov random field (MRF) can be used to describe the spatial continuity, the structures of images can be modeled if a proper neighborhood system is selected. Therefore, MRF and simulated annealing are used to suppress the image noise and increase the image resolution. Simulation and experiment show that the method can preserve the object structures of THz images.

Paper Details

Date Published: 4 August 2009
PDF: 7 pages
Proc. SPIE 7385, International Symposium on Photoelectronic Detection and Imaging 2009: Terahertz and High Energy Radiation Detection Technologies and Applications, 73850L (4 August 2009); doi: 10.1117/12.836008
Show Author Affiliations
Qi Li, Harbin Institute of Technology (China)
Qiguo Yin, Harbin Institute of Technology (China)
Rui Yao, Harbin Institute of Technology (China)
Qi Wang, Harbin Institute of Technology (China)


Published in SPIE Proceedings Vol. 7385:
International Symposium on Photoelectronic Detection and Imaging 2009: Terahertz and High Energy Radiation Detection Technologies and Applications
X.-C. Zhang; James M. Ryan; Cun-lin Zhang; Chuan-xiang Tang, Editor(s)

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