24 October 2017 Self-adaptive histogram equalization image enhancement based on canny operator
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Proceedings Volume 10462, AOPC 2017: Optical Sensing and Imaging Technology and Applications; 104624O (2017) https://doi.org/10.1117/12.2285571
Event: Applied Optics and Photonics China (AOPC2017), 2017, Beijing, China
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.
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Ya-ni Du, Huixin Zhou, Zhen-hua Ma, Yue Yu, Han-lin Qin, Wei Tan, "Self-adaptive histogram equalization image enhancement based on canny operator", Proc. SPIE 10462, AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104624O (24 October 2017); doi: 10.1117/12.2285571; https://doi.org/10.1117/12.2285571
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