Paper
19 November 2003 Infrared image enhancement based on two-dimensional histogram analysis
Shao-yuan Sun, Zhong-Liang Jing, Zhen-Hua Li, Gang Liu
Author Affiliations +
Abstract
In this paper, a novel image enhancement technique suitable for infrared image, dualistic sub-image enhancement based on two-dimensional histogram analysis and histogram equalization, is put forward. Firstly, the infrared image is segmented to two sub-images according to the correlation between the neighboring pixels, which is based on the two-dimensional histogram analysis. Then each sub-image is enhanced based on histogram equalization. At last, we get the result after the processed sub-images are composed into one image. The experiment result indicates that the algorithm can not only enhance image information effectively but also keep the fine part of original infrared image well. And this algorithm eliminates the drawback of traditional histogram equalization that the fine part is not easy to control and protect.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shao-yuan Sun, Zhong-Liang Jing, Zhen-Hua Li, and Gang Liu "Infrared image enhancement based on two-dimensional histogram analysis", Proc. SPIE 5203, Applications of Digital Image Processing XXVI, (19 November 2003); https://doi.org/10.1117/12.505590
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Cited by 1 scholarly publication.
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KEYWORDS
Image enhancement

Image processing

Infrared imaging

Infrared radiation

Image segmentation

Digital imaging

Image processing algorithms and systems

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