Real Time Non uniformity Correction Algorithm and Implementation in Reconfigurable Architecture for Infra red Imaging Systems
In modern electro-optical systems, infra-red (IR) imaging system is an essential sensor used for day and night surveillance. In recent years, advancements in IR sensor technology resulted the detectors having smaller pitch, better thermal sensitivity with large format like 640.512, 1024.768 and 1280.1024. Large format IR detectors enables realisation of high resolution compact thermal imager having wide field-of view coverage. However, the performance of these infrared imaging systems gets limited by non uniformity produced by sensing element, which is temporal in nature and present in spatial domain. This non uniformity results the fixed pattern noise, which arises due to variation in gain and offset components of the each pixel of the sensor even when exposed to a uniform scene. This fixed pattern noise limits the temperature resolution capability of the IR imaging system thereby causing the degradation in system performance. Therefore, it is necessary to correct the non-uniformities in real time. In this paper, non uniformity correction algorithm and its implementation in reconfigurable architectures have been presented and results on real time data have been described.
Holst G.C Electro-Optical Imaging System Performances, In JCD Publishing, Third Edition, Florida, SPIE Optical Engineering Press, Bellingham, 2003.
Karim A., Andersson J.Y; Infrared detectors: Advances, challenges and new technologies, In Proceedings of IOP Conf. Series: Material Science and Engineering, 2013, 51, pp. 1-8 [doi: 10.1088/1757-899X/51/1/012001.
Eric A. DeCuir et al.; Long-wave type-II superlattice detectors with unipolar electron and hole barriers, Optical Engineering, 2012, 51(12), pp. 124001-1 to 124001-8.
Thomas Svensson; An evaluation of image quality metrics aiming to validate long term stability and the performance of NUC methods, In Proceeding of SPIE 8706, 2013, pp. 870604-1 to 870604-14.
Daniel Pipa, Eduardo A. B. da Silva, Carla Pagliari, and Marcelo M. Perez; Joint Bias And Gain Non uniformity Correction of Infrared Videos, IEEE, 2009, pp. 3897-3900.
J. Harris and Y. Chiang; Nonuniformity correction of infrared image sequences using the constant-statistics constraint, IEEE Transactions on Image Processing, 1999, 8(8), pp. 1148–115.
Lixiang Geng, Qian Chen, WeixianQian, and Yuzhen Zhang; Scene-based Nonuniformity Correction Algorithm Based on Temporal Median Filter, Journal of the Optical Society of Korea, 2013, Vol. 17(3), pp. 255-26.
T. Toczeka , F. Hamdia , B. Heyrmana , J. Duboisa , J. Miterana , D. Ginhaca; Scene-based non-uniformity correction: from algorithm to implementation on a smart camera, Journal of Systems Architecture, Elsevier, 2013, 59 (10), pp. 833-846.
G. Ness, A. Oved, I. Kakon; Derivative Based Focal Plane Array Nonuniformity Correction Cornell, 2017, Vol abs/1702.06118, pp. 1-4.
F. Marcotte, P. Tremblay, V. Farley; Infrared camera NUC and calibration: comparison of advanced methods, In Proceeding of SPIE 8706, 2013, pp. 870603-1 to 870603-10.
A. Kumar, S.Sarkar, R.P. Agarwal; A novel algorithm and FPGA based adaptable architecture for correcting sensor non-uniformities in infrared system, Elsevier, Microprocessor and Microsystems, 2007, pp. 402-407.
V. N. Borovytsky; Residual error after non uniformity correction, Semiconductor physics, quantum electronics and opto-electronics, 2000, 3 (1), pp. 102-105.
Ning Liu, Qian Chen, Hang Qiu; An Advanced Time-Domain Projection-Based Registration Scene Based Non-Uniformity Correction Technology and the Detailed Hardware Realization, In Proceeding of SPIE 9142, 2014.
M. Jin, W. Jin, Y. Li, S. Li; Temporal high-pass non uniformity correction algorithm based on grayscale mapping and hardware implementation, In Proceeding of SPIE 9622, 2015, pp. 962210-1 to 962210-8.
Skahill, K,VHDL for programmable logic (Book), In Addison Wesley, CA, USA (2006).
where otherwise noted, the Articles on this site are licensed under Creative Commons License: CC Attribution-Noncommercial-No Derivative Works 2.5 India