Browse > Article
http://dx.doi.org/10.3807/KJOP.2022.33.4.146

A Study of the Scene-based NUC Using Image-patch Homogeneity for an Airborne Focal-plane-array IR Camera  

Kang, Myung-Ho (Agency for Defense Development)
Yoon, Eun-Suk (Agency for Defense Development)
Park, Ka-Young (Agency for Defense Development)
Koh, Yeong Jun (Department of Computer Engineering, Chungnam National University)
Publication Information
Korean Journal of Optics and Photonics / v.33, no.4, 2022 , pp. 146-158 More about this Journal
Abstract
The detector of a focal-plane-array mid-wave infrared (MWIR) camera has different response characteristics for each detector pixel, resulting in nonuniformity between detector pixels. In addition, image nonuniformity occurs due to heat generation inside the camera during operation. To solve this problem, in the process of camera manufacturing it is common to use a gain-and-offset table generated from a blackbody to correct the difference between detector pixels. One method of correcting nonuniformity due to internal heat generation during the operation of the camera generates a new offset value based on input frame images. This paper proposes a technique for dividing an input image into block image patches and generating offset values using only homogeneous patches, to correct the nonuniformity that occurs during camera operation. The proposed technique may not only generate a nonuniformity-correction offset that can prevent motion marks due to camera-gaze movement of the acquired image, but may also improve nonuniformity-correction performance with a small number of input images. Experimental results show that distortion such as flow marks does not occur, and good correction performance can be confirmed even with half the number of input images or fewer, compared to the traditional method.
Keywords
EO/IR; Image homegeneity; MWIR focal plane array detector; SBNUC;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 D. A. Scribner, K. A. Sarkady, J. T. Caufield, M. R. Kruer, G. Katz, C. J. Gridley, and C. Herman, "Nonuniformity correction for staring IR focal plane arrays using scene-based techniques," Proc. SPIE 1308, 224-233 (1990).
2 J. Guan, R. Lai, A. Xiong, Z. Liu, and L. Gu, "Fixed pattern noise reduction for infrared images based on cascade residual attention CNN," Neurocomputing 377, 301-313 (2019).
3 M. Broekaert and B. N. Payrat, "Nonlinearity and nonuniformity corrections for the IRIS family of IRCCD thermal imagers," Proc. SPIE 2269, 507-523 (1994).
4 D. L. Perry and E. L. Dereniak, "Linear theory of nonuniformity correction in infrared staring sensors," Opt. Eng. 32, 1854- 1859 (1993).   DOI
5 M. Schulz and L. Caldwell, "Nonuniformity correction and correctability of infrared focal plane arrays," Infrared Phys. Technol. 36, 763-777 (1995).   DOI
6 W. Isoz, T. Svensson, and I. Renhorn, "Nonuniformity correction of infrared focal plane arrays," Proc. SPIE 5783, 949-960 (2005).
7 H.-J. Hyun and B.-I. Choi, "A improved scene based nonuniformity correction algorithm for infrared camera," J. Korea Soc. Comput. Inform. 23, 67-74 (2018).
8 J. G. Harris and Y. M. Chiang, "Nonuniformity correction of infrared image sequences using the constant-statistics constraint," IEEE Trans. Image Process. 8, 1148-1151 (1999).   DOI
9 S. Ding, D. Wang, and T. Zhang, "A median-ratio scene-based non-uniformity correction methed for airborne infrared point target detection system," Sensors 20, 3273 (2020).   DOI
10 C. Zuo, Q. Chen, G. Gu, and X. Sui, "Scene-based nonuniformity correction algorithm based on interframe registration," J. Opt. Soc. Am. A 28, 1164-1176 (2011).   DOI
11 J. Zeng, X. Sui, and H. Gao, "Adaptive image-registration-based nonuniformity correction algorithm with ghost artifacts eliminating for infrared focal plane arrays," IEEE Photonics J. 7, 6803016 (2015).
12 A. Boutemedjet, C. Deng, and B. Zhao, "Robust approach for nonuniformity correction in infrared focal plane array," Sensors 16, 1890 (2016).   DOI
13 Y.-H. Hong, K.-J. Lee, and H.-J. Kim, "Scene-based nonuniformity correction complemented by block reweighting and global offset initialization," J. Korea Soc. Comput. Inform. 22, 15-23 (2017).   DOI
14 Y. Yu, L. Li, H. Feng, Z. Xu, Q. Li, Y. Chen, and H. Hu, "Adaptive neural network non-uniformity correction algorithm for infrared focal plane array based on bi-exponential edge-preserving smoother," Proc. SPIE 10462, 1046215 (2017).