JOURNAL ARTICLE

Infrared image enhancement based on two-dimensional histogram analysis

Shaoyuan SunZhongliang JingZhenhua LiGang Liu

Year: 2003 Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Vol: 5203 Pages: 729-729   Publisher: SPIE

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.

Keywords:
Histogram equalization Adaptive histogram equalization Histogram matching Histogram Image histogram Artificial intelligence Balanced histogram thresholding Computer vision Pixel Computer science Color normalization Image (mathematics) Pattern recognition (psychology) Image processing Image texture Color image

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Topics

Image Enhancement Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Image Processing Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Image Fusion Techniques
Physical Sciences →  Engineering →  Media Technology

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