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Proceedings Paper

Self-adaptive histogram equalization image enhancement based on canny operator
Author(s): Ya-ni Du; Huixin Zhou; Zhen-hua Ma; Yue Yu; Han-lin Qin; Wei Tan
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Paper Abstract

Traditional histogram equalization method always leads to the gray level reduction and loss of details. In this paper, an efficient and self-adaptive image enhancement algorithm is proposed based on canny operator and histogram equalization. The canny operator is used to extract the detail information which could be preserved in the enhanced image. The shortcomings of histogram equalization can thus be overcome. The experimental results with infrared images show that our method can preserve more image details and improve the image contrast and suppress noise effectively, which indicates a better performance for infrared image enhancement.

Paper Details

Date Published: 24 October 2017
PDF: 8 pages
Proc. SPIE 10462, AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104624O (24 October 2017);
Show Author Affiliations
Ya-ni Du, Xidian Univ. (China)
Huixin Zhou, Xidian Univ. (China)
Zhen-hua Ma, Xidian Univ. (China)
Yue Yu, Xidian Univ. (China)
Han-lin Qin, Xidian Univ. (China)
Wei Tan, Xidian Univ. (China)

Published in SPIE Proceedings Vol. 10462:
AOPC 2017: Optical Sensing and Imaging Technology and Applications
Yadong Jiang; Haimei Gong; Weibiao Chen; Jin Li, Editor(s)

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