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Proceedings Paper

An FPGA-based histogram equalization implementation
Author(s): Yang Li; Sheng Zhong; Bo Wang; Luxin Yan; Tao Liu
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Paper Abstract

Image histogram equalization technology is always a very important basic processing technology in image process field. In infrared image processing system, low contrast and shortage of gray levels often make it very difficult to observe and recognize targets. In this situation, Real-time image histogram equalization technology is often used to enhance infrared image contrast, improve infrared image quality and ameliorate image processing system performance. In embedded system, when real-time image histogram equalization is required, it is very difficult for the typical design methods by using general purpose DSP or MCU to meet the real-time requirement. It is a very good choice to choose FPGA hardware logic to implement image histogram equalization. Here in this paper, we introduce an FPGA based image histogram equalization implementation in detail which can meet real-time requirement very well.

Paper Details

Date Published: 30 October 2009
PDF: 4 pages
Proc. SPIE 7497, MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 74970R (30 October 2009); doi: 10.1117/12.832927
Show Author Affiliations
Yang Li, Huazhong Univ. of Science and Technology (China)
National Key Lab. of Multi-spectral Information Processing Technology (China)
Sheng Zhong, Huazhong Univ. of Science and Technology (China)
National Key Lab. of Multi-spectral Information Processing Technology (China)
Bo Wang, Huazhong Univ. of Science and Technology (China)
National Key Lab. of Multi-spectral Information Processing Technology (China)
Luxin Yan, Huazhong Univ. of Science and Technology (China)
National Key Lab. of Multi-spectral Information Processing Technology (China)
Tao Liu, Huazhong Univ. of Science and Technology (China)
National Key Lab. of Multi-spectral Information Processing Technology (China)


Published in SPIE Proceedings Vol. 7497:
MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques
Faxiong Zhang; Faxiong Zhang, Editor(s)

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