Super-Resolution Reconstruction of Underground Mine Surveillance Images Based on MAP

Guo Liang Fan; Zhen Chong Wang; Yan Qin Zhao

doi:10.4028/www.scientific.net/AMM.109.457

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 109Super-Resolution Reconstruction of Underground...

Super-Resolution Reconstruction of Underground Mine Surveillance Images Based on MAP

Abstract:

Underground mine surveillance can record the situation of coal production site timely and accurately. Because of the poor quality of air, inadequate lighting, lower monitor equipment resolution, surveillance images are blurred. This paper makes full use of the complementary information between surveillance images sequence. And we reconstruct high resolution images by using of maximum a posteriori (MAP) algorithm. Experiment results show that the reconstructed images can reflect the detail of the underground mine surveillance images. Compared with the traditional interpolation results, the reconstructed images avoid jagged effect and overall fuzzy. The PSNR of images are also improved.

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Periodical:

Applied Mechanics and Materials (Volume 109)

Pages:

457-461

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.109.457

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Online since:

October 2011

Authors:

Guo Liang Fan, Zhen Chong Wang, Yan Qin Zhao

Keywords:

Image Sequence, Interpolation, Map, Super-Resolution Reconstruction, Underground Surveillance of Mine

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