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Proceedings Paper

Accurate non-effective pixel detection and replacement based on multi-temperature matching
Author(s): Hui-ming Qu; Qian Chen; Can-lin Zhang
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Paper Abstract

The number and distribution of non-effective pixels is an important quality figure that defines a given infrared focal panel array (IRFPA). An accurate non-effective pixel detection algorithm is present in this paper. Through theoretical analysis of IRFPA responsivity suitable definition of non-effective pixel is given. Based on this definition an adaptive threshold is proposed to discriminate various non-effective pixels and normal pixels. Meanwhile, multi-temperature matching approach helps us to pick out the hided non-effective pixel under a certain temperature range. Finally, neighboring pixel interpolation is performed to substitute non-effective pixels according to spatial correlation. The benefit of this method is reducing misjudgment of non-effective pixels, which will degrade infrared image quality. This approach for detecting and replacing non-effective pixels is successfully applied to a set of frames obtained from an IRFPA imaging. Results show that the detection and replacement accuracy of non-effective pixels is greatly improved by this approach. Furthermore, the proposed algorithm is adaptable to a variety of non-effective pixel types.

Paper Details

Date Published: 29 January 2007
PDF: 8 pages
Proc. SPIE 6279, 27th International Congress on High-Speed Photography and Photonics, 62796X (29 January 2007); doi: 10.1117/12.725821
Show Author Affiliations
Hui-ming Qu, Nanjing Univ. of Science & Technology (China)
Qian Chen, Nanjing Univ. of Science & Technology (China)
Can-lin Zhang, Nanjing Univ. of Science & Technology (China)

Published in SPIE Proceedings Vol. 6279:
27th International Congress on High-Speed Photography and Photonics
Xun Hou; Wei Zhao; Baoli Yao, Editor(s)

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