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Proceedings Paper

Improved temporal high-pass filter non-uniformity correction algorithm based on shearlet transform
Author(s): Sheng-hui Rong; Hui-xin Zhou; Han-lin Qin; Kun Qian; Dong Zhao; Bing-jian Wang
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Paper Abstract

The drawback of temporal high-pass non-uniformity correction algorithm, ghosting and the image blurring, severely degrades the correction quality. In this paper, an improved non-uniformity correction algorithm based on shearlet transform is proposed. First, the proposed algorithm decomposes the original infrared image into one low frequency sub-band and a group of high frequency sub-bands by the shearlet transform. As a powerful mathematical tool, the decomposition of image by shearlet can reveal the detail of the image accurately. As the high frequency sub-bands contain the most of FPN, the FPN is estimated from the high frequency sub-bands by temporal high-pass. Then, the goal of non-uniformity correction can be achieved by subtracting the estimated FPN from the original high frequency sub-bands. At last, the corrected infrared image can be obtained by the inverse shearlet transform. The performance of the proposed algorithm is thoroughly studied with real infrared image sequences. Experimental results indicate that the proposed algorithm can reduce the non-uniformity with less ghosting artifacts but also overcome the problems of image blurring in static areas.

Paper Details

Date Published: 1 November 2016
PDF: 8 pages
Proc. SPIE 10157, Infrared Technology and Applications, and Robot Sensing and Advanced Control, 1015738 (1 November 2016); doi: 10.1117/12.2247347
Show Author Affiliations
Sheng-hui Rong, Xidian Univ. (China)
Hui-xin Zhou, Xidian Univ. (China)
Han-lin Qin, Xidian Univ. (China)
Kun Qian, Xidian Univ. (China)
Dong Zhao, Xidian Univ. (China)
Bing-jian Wang, Xidian Univ. (China)


Published in SPIE Proceedings Vol. 10157:
Infrared Technology and Applications, and Robot Sensing and Advanced Control

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