Paper Title:
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.

  Info
Periodical
Chapter
Chapter 5: Industrial Mechanics
Edited by
Yongping Zhang, Linhua Zhou and Elwin Mao
Pages
457-461
DOI
10.4028/www.scientific.net/AMM.109.457
Citation
G. L. Fan, Z. C. Wang, Y. Q. Zhao, "Super-Resolution Reconstruction of Underground Mine Surveillance Images Based on MAP", Applied Mechanics and Materials, Vol. 109, pp. 457-461, 2012
Online since
October 2011
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