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Proceedings Paper

Scene-based nonuniformity correction using multiframe registration and iteration method
Author(s): Jianle Ren; Qian Chen; Weixian Qian; Xuelian Yu; Danping Li
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Paper Abstract

In this paper, an improved scene-based nonuniformity correction (NC) algorithm for infrared focal plane arrays (IRFPAs) using multiframe registration and iteration method is proposed. This method estimates the global translation and iterates between several adjacent frames. Then mean square error between any two properly registered images is minimized to obtain nonuniformity correction parameters. The detailed method includes three main steps: First, we assume that brightness along the motion trajectory is constant, and a linear detector response and model the nonuniformity of each detector with a gain and a bias. Second, several adjacent frames are used to compute relative motion of any two adjacent frames. Here we use the Fourier shift theorem, their relative translation can be obtained by calculating their normalized cross-power spectrum. We choose K adjacent frames, so the total number of iteration is K*(K-1)/2. Then the mean square error function is defined as the corresponding difference between the two adjacent corrected frames, and it is minimized making use of the least mean square algorithm. The use of correlation of adjacent frames sufficiently, together with iteration strategy between them, can get fast and reliable fixed-pattern noise reduction with low few ghosting artifacts. We define the algorithm and present a number of experimental results to demonstrate the efficacy of the proposed method in comparison to several previously published methods. The performance of the proposed method is thoroughly evaluated with clean infrared image sequences with synthetic nonuniformity and real infrared imagery.

Paper Details

Date Published: 15 May 2014
PDF: 5 pages
Proc. SPIE 9139, Real-Time Image and Video Processing 2014, 91390N (15 May 2014); doi: 10.1117/12.2052067
Show Author Affiliations
Jianle Ren, Nanjing Univ. of Science and Technology (China)
Beijing Institute of Technology (China)
Qian Chen, Nanjing Univ. of Science and Technology (China)
Beijing Institute of Technology (China)
Weixian Qian, Nanjing Univ. of Science and Technology (China)
Xuelian Yu, Nanjing Univ. of Science and Technology (China)
Danping Li, Nanjing Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 9139:
Real-Time Image and Video Processing 2014
Nasser Kehtarnavaz; Matthias F. Carlsohn, Editor(s)

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