Continuous-wave THz image denoising based on Markov random field and simulated annealing algorithm

Qi Li; Qiguo Yin; Rui Yao; Qi Wang

doi:10.1117/12.836008

4 August 2009 Continuous-wave THz image denoising based on Markov random field and simulated annealing algorithm

Qi Li, Qiguo Yin, Rui Yao, Qi Wang

Proceedings Volume 7385, International Symposium on Photoelectronic Detection and Imaging 2009: Terahertz and High Energy Radiation Detection Technologies and Applications; 73850L (2009) https://doi.org/10.1117/12.836008
Event: International Symposium on Photoelectronic Detection and Imaging 2009, 2009, Beijing, China

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.

Citation Download Citation

Qi Li, Qiguo Yin, Rui Yao, and Qi Wang "Continuous-wave THz image denoising based on Markov random field and simulated annealing algorithm", Proc. SPIE 7385, International Symposium on Photoelectronic Detection and Imaging 2009: Terahertz and High Energy Radiation Detection Technologies and Applications, 73850L (4 August 2009); https://doi.org/10.1117/12.836008

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