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Proceedings Paper

Temporal high-pass filter nonuniformity correction algorithm based on guided filter for IRFPA
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Paper Abstract

In this paper, a new temporal high-pass filter nonuniformity correction algorithm based on guided filter is proposed, which address the ghosting artifacts and preserve image details of original image. In this algorithm, the original input image is separated into two parts, which are the high spatial-frequency part that contains most of the nonuniformity and the low spatial-frequency part with well preserved details. Then the fixed pattern noise is estimated from the high spatial-frequency part and subtracted from the original image, which achieves the nonuniformity correction. The performance of this presented algorithm is tested with two infrared image sequences, and the experimental results show that the proposed algorithm can significantly reduce the ghosting artifacts and achieve a better nonuniformity correction performance.

Paper Details

Date Published: 8 October 2015
PDF: 6 pages
Proc. SPIE 9675, AOPC 2015: Image Processing and Analysis, 96752S (8 October 2015); doi: 10.1117/12.2202781
Show Author Affiliations
Kuanhong Cheng, Xidian Univ. (China)
Huixin Zhou, Xidian Univ. (China)
Shenghui Rong, Xidian Univ. (China)
Hanlin Qin, Xidian Univ. (China)
Rui Lai, Xidian Univ. (China)
Dong Zhao, Xidian Univ. (China)
Qingjie Zeng, Xidian Univ. (China)


Published in SPIE Proceedings Vol. 9675:
AOPC 2015: Image Processing and Analysis
Chunhua Shen; Weiping Yang; Honghai Liu, Editor(s)

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