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Proceedings Paper

A curvature filter and PDE based non-uniformity correction algorithm
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Paper Abstract

In this paper, a curvature filter and PDE based non-uniformity correction algorithm is proposed, the key point of this algorithm is the way to estimate FPN. We use anisotropic diffusion to smooth noise and Gaussian curvature filter to extract the details of original image. Then combine these two parts together by guided image filter and subtract the result from original image to get the crude approximation of FPN. After that, a Temporal Low Pass Filter (TLPF) is utilized to filter out random noise and get the accurate FPN. Finally, subtract the FPN from original image to achieve non-uniformity correction. The performance of this algorithm is tested with two infrared image sequences, and the experimental results show that the proposed method achieves a better non-uniformity correction performance.

Paper Details

Date Published: 1 November 2016
PDF: 6 pages
Proc. SPIE 10157, Infrared Technology and Applications, and Robot Sensing and Advanced Control, 1015736 (1 November 2016); doi: 10.1117/12.2247324
Show Author Affiliations
Kuanhong Cheng, Xidian Univ. (China)
Huixin Zhou, Xidian Univ. (China)
Hanlin Qin, Xidian Univ. (China)
Dong Zhao, Xidian Univ. (China)
Kun Qian, Xidian Univ. (China)
Shenghui Rong, Xidian Univ. (China)
Shimin Yin, Guilin Univ. of Electronic Technology (China)


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

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