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Proceedings Paper

A spatial total variation model for correcting stripe nonuniformity in IR-FPA images
Author(s): Yewei Zhang; Guohua Gu
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Paper Abstract

An effective total variation-based nonuniformity correction (NUC) is presented to remove the nonuniformity in infrared focal plane array in this paper. In this method, we treat the NUC problem as an ill-posed inverse problem and set L1-norm horizontal total variation regularization (L1-HTV) to solve. By a more realistic geometrical consideration on the nonuniform noise, the L1-HTV regularization only constrains the gradients along the x-axis in space domain and time domain while protects the gradients along the y-axis. As a result, nonuniformity can perfectly removed effectively, while the details and edges are well preserved. In addition, we use the Split Bregman iteration to minimize the regularization term in the model, which highly reduces the computational complexity so that it can be used in real-time video sequence. We test the experiments on real scene under different circumstances and indicate that our algorithm is effective and efficient.

Paper Details

Date Published: 10 February 2017
PDF: 8 pages
Proc. SPIE 10250, International Conference on Optical and Photonics Engineering (icOPEN 2016), 102500M (10 February 2017); doi: 10.1117/12.2266813
Show Author Affiliations
Yewei Zhang, Nanjing Univ. of Science and Technology (China)
Guohua Gu, Nanjing Univ. of Science and Technology (China)

Published in SPIE Proceedings Vol. 10250:
International Conference on Optical and Photonics Engineering (icOPEN 2016)
Anand Krishna Asundi; Xiyan Huang; Yi Xie, Editor(s)

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