NDLI: The hardware design of real-time infrared image enhancement system

Content Provider	IEEE Xplore Digital Library
Author	Bai Lianfa Li Xing Chen Qian Zhang Baomin
Copyright Year	2003
Description	Author affiliation: Sch. of Electron. Eng. & Optoelectron. Technol., Nanjing Univ. of Sci. & Technol., China (Bai Lianfa; Li Xing; Chen Qian; Zhang Baomin)
Abstract	Low contrast and shortage of gray levels are two main characteristics of infrared image and the real-time image enhancement technology is the key to ameliorate infrared imaging system performance and improve image quality. In this paper, the basic principle of a new histogram-transforming algorithm is described in detail and the special gray-level transforming function is presented. This paper proposes flexible hardware circuit architecture to realize the real-time infrared image processing based on DSP+FPGA techniques. The experiment results show that this method has good real-time characters and the image brightness contrast as well as the recognizing capability of human eyes can be increased significantly. In the infrared image television system, this method can be used directly and has high commercial value. Moreover, this hardware and associate programmable environment is suitable for other signal processing occasions.
Sponsorship	IEEE Circuits and Syst. Soc. (CASS) IEEE R10 CASS IEEE Beijing Section Chinese Neural Networks Council Circuits and Information Processing Committee, CASS-CIE Southeast Univ., China
Starting Page	1009
Ending Page	1012
File Size	256439
Page Count	4
File Format	PDF
ISBN	0780377028
DOI	10.1109/ICNNSP.2003.1281039
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-12-14
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Real time systems Image quality Flexible printed circuits System performance Image processing Brightness Signal processing algorithms Infrared imaging Hardware Image enhancement
Content Type	Text
Resource Type	Article

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