Abstract

In this paper, we present a simple and effective scene-based nonuniformity correction (NUC) method for infrared focal plane arrays based on interframe registration. This method estimates the global translation between two adjacent frames and minimizes the mean square error between the two properly registered images to make any two detectors with the same scene produce the same output value. In this way, the accumulation of the registration error can be avoided and the NUC can be achieved. The advantages of the proposed algorithm lie in its low computational complexity and storage requirements and ability to capture temporal drifts in the nonuniformity parameters. The performance of the proposed technique is thoroughly studied with infrared image sequences with simulated nonuniformity and infrared imagery with real nonuniformity. It shows a significantly fast and reliable fixed-pattern noise reduction and obtains an effective frame-by-frame adaptive estimation of each detector’s gain and offset.

© 2011 Optical Society of America

Scene-based nonuniformity correction with video sequences and registration

Russell C. Hardie, Majeed M. Hayat, Earnest Armstrong, and Brian Yasuda
Appl. Opt. 39(8) 1241-1250 (2000)

Nonuniformity correction for an infrared focal plane array based on diamond search block matching

Rong Sheng-hui, Zhou Hui-xin, Qin Han-lin, Lai Rui, and Qian Kun
J. Opt. Soc. Am. A 33(5) 938-946 (2016)

Scene-Based Nonuniformity Correction with Reduced Ghosting Using a Gated LMS Algorithm

Russell C. Hardie, Frank Baxley, Brandon Brys, and Patrick Hytla
Opt. Express 17(17) 14918-14933 (2009)

Generalized algebraic scene-based nonuniformity correction algorithm

Bradley M. Ratliff, Majeed M. Hayat, and J. Scott Tyo
J. Opt. Soc. Am. A 22(2) 239-249 (2005)

Scene-based nonuniformity correction technique for infrared focal-plane arrays

Yong-Jin Liu, Hong Zhu, and Yi-Gong Zhao
Appl. Opt. 48(12) 2364-2372 (2009)