Abstract
A real-time self-adaptive image enhancement method is proposed, which based on information of the histogram for Infrared Focal Plane Array (IRFPA) system. By analyzing information on the image histogram and calculating the image of a scene threshold gray level information, which construct the new histogram distributing base on the chosen parameters. This method has very small computational complexity while can produce high contrast output images, which makes this ideal can be implemented by FPGA (Field Programmable Gate Array) for real-time image process. Experimental results show that this method has better performance than other methods mentioned in this paper, which can also reduce low frequency noise and easily applied to real-time hardware system.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Zhang, J.J., Sun, L.J., Wang, S.Y., Chang, B.K., Qian, Y.S., Yu, C.Y.: Performance Analysis of Low-Cost Uncooled Microbolometer Infrared Detectors. In: SPIE, vol. 6352, pp. 63523D.1–63523D.8 (2006)
Xing, S.X., Huang, C.Y., Chang, B.K., Qian, Y.S., Zhang, J.J.: Miniaturized Design for Drive Circuits of 320×240 Uncooled Infrared Focal Plane Array. In: SPIE Signal and Data Processing of Small Targets. SPIE, vol. 5204, pp. 524–530 (2003)
Jain, A.K.: Fundamentals of Digital Image Processing. Prentice-Hall, Englewood Cliffs (1989)
Wang, B.J., Liu, S.Q., Li, Q., Zhou, H.X.: A Real-Time Contrast Enhancement Algorithm for Infrared Images Based on Plateau Histogram, vol. 48, pp. 77–82. Elsevier, Amsterdam (2006)
Silverman, J.: Signal Processing Algorithms for Display and Enhancement of IR Images. In: SPIE, vol. 2020, pp. 440–446 (1993)
Yan, L.Y.J., The Research, J.L.: of Anti-Jamming Image Enhancement Method of Infrared Imaging System. In: SPIE, vol. 7383, p. 73830X (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Zhang, BH., Xia, PH., Zhang, Jj., Chang, Bk., Qian, Ys. (2011). A Real-Time Self-adaptive Enhancement Method of Infrared System. In: Yu, Y., Yu, Z., Zhao, J. (eds) Computer Science for Environmental Engineering and EcoInformatics. CSEEE 2011. Communications in Computer and Information Science, vol 158. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22694-6_16
Download citation
DOI: https://doi.org/10.1007/978-3-642-22694-6_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-22693-9
Online ISBN: 978-3-642-22694-6
eBook Packages: Computer ScienceComputer Science (R0)