Accurate non-effective pixel detection and replacement based on multi-temperature matching

Hui-ming Qu; Qian Chen; Can-lin Zhang

doi:10.1117/12.725821

29 January 2007 Accurate non-effective pixel detection and replacement based on multi-temperature matching

Hui-ming Qu, Qian Chen, Can-lin Zhang

Proceedings Volume 6279, 27th International Congress on High-Speed Photography and Photonics; 62796X (2007) https://doi.org/10.1117/12.725821
Event: 27th International congress on High-Speed Photography and Photonics, 2006, Xi'an, China

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.

Citation Download Citation

Hui-ming Qu, Qian Chen, and Can-lin Zhang "Accurate non-effective pixel detection and replacement based on multi-temperature matching", Proc. SPIE 6279, 27th International Congress on High-Speed Photography and Photonics, 62796X (29 January 2007); https://doi.org/10.1117/12.725821

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