The ghosting artifact reduction in high-order statistics based nonuniformity correction

Wenfang Sun; Yigong Zhao; Hong Zhu; Beibei Song

doi:10.1117/12.790836

4 March 2008 The ghosting artifact reduction in high-order statistics based nonuniformity correction

Wenfang Sun, Yigong Zhao, Hong Zhu, Beibei Song

Proceedings Volume 6621, International Symposium on Photoelectronic Detection and Imaging 2007: Photoelectronic Imaging and Detection; 66211F (2008) https://doi.org/10.1117/12.790836
Event: International Symposium on Photoelectronic Detection and Imaging: Technology and Applications 2007, 2007, Beijing, China

Abstract

This paper presents a nonuniformity correction (NUC) method based on high-order statistics to reduce "ghosting" artifact. Firstly, estimate the motion shift between the current frame and the previous frame of video sequences. When the motion shift exceeds the given threshold, we choose exponential windowing (EW) NUC method or else choose iterative high-order statistics NUC method. The strength of our method lies in its simplicity, low computational complexity, and its good trade-off between nonuniformity correction and "ghosting" artifact reduction. The ability of proposed method is demonstrated by using IR video sequences with both real and simulated nonuniformity.

Citation Download Citation

Wenfang Sun, Yigong Zhao, Hong Zhu, and Beibei Song "The ghosting artifact reduction in high-order statistics based nonuniformity correction", Proc. SPIE 6621, International Symposium on Photoelectronic Detection and Imaging 2007: Photoelectronic Imaging and Detection, 66211F (4 March 2008); https://doi.org/10.1117/12.790836

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