A New Method for Improving Infrared Image Quality and its System Implementation

Zhan Hua Huan; He Meng Yang; Meng Zhu

doi:10.4028/www.scientific.net/AMM.130-134.2989

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 130-134A New Method for Improving Infrared Image Quality...

A New Method for Improving Infrared Image Quality and its System Implementation

Abstract:

To obtain high-quality infrared image real-timely, a new correction enhancement method is proposed. The method can both compensate nonuniformity of IRFPA by using calibration-based piecewise polynomial interpolation correction algorithm and increase image contrast by using histogram-based adaptive threshold image enhancement algorithm. The experiment is performed by carrying out the method in an embedded imaging system. The results show that the system can process infrared image real-timely and the processed image is clear with high signal to noise ratio.

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Periodical:

Applied Mechanics and Materials (Volumes 130-134)

Pages:

2989-2992

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.130-134.2989

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Online since:

October 2011

Authors:

Zhan Hua Huan, He Meng Yang, Meng Zhu

Keywords:

Digital Signal Processor (DSP), Image Enhancement, IRFPA, Nonuniformity Correction, Real-Time System

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References

[1] C. Marshall, T. Parker, and T. White, Infrared Sensor Technology, Engineering in Medicine and Biology Society. IEEE 17th Annual Conference, vol. 2, p.1715–1716, September (1995).

Google Scholar

[2] SCRIBNER D A, KRUER M R, KILLIANY J M, Infrared focal plane array technology, Proceedings of IEEE, 1991, 79(1): 66-85.

DOI: 10.1109/5.64383

Google Scholar

[3] Gross W, Hierl T, Schulz M, Correctability and long-term stability of infrared focal plane arrays, Optical Engineering, vol. 38, p.862–865, May (1999).

DOI: 10.1117/1.602055

Google Scholar

[4] RUPERT M, Imaging processing in an enhanced and synthetic vision system, Proceedings of SPIE, 2002, 4713: 168-177.

Google Scholar

[5] Hemeng Yang, Zhanhua Huang, Libin Sun, A Study on Designing Infrared Video Real-time Processing System Based on TMS320DM642, WICOM2010, September (2010).

DOI: 10.1109/wicom.2010.5600665

Google Scholar

[6] Perry D L, Dereniak E L, Linear theory of nonuniformity correction in infrared staring sensors, Optical Engineering, vol. 32, p.1854–1859, August (1993).

DOI: 10.1117/12.145601

Google Scholar

[7] Friednberg Goldbiatt l. Nonuniformity two-point linear correction errors in infrared focal plane arrays, Optical Engineering, vol. 37, pp.1251-1253, Aprial (1998).

DOI: 10.1117/1.601890

Google Scholar

[8] Wang Bingjian, Liu Shangqian, Li Qing, A real-time contrast enhancement algorithm for infrared images based on plateau histogram, Infrared Physics & Technology, vol. 48, pp.77-82, Aprial (2006).

DOI: 10.1016/j.infrared.2005.04.008

Google Scholar