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Proceedings Paper

Marine infrared image enhancement based on atmospheric model and CLAHE
Author(s): Chenlong Guo; JingWei Chen; Dafei Wang
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Paper Abstract

An infrared image enhancement algorithm combining dark channel prior and adaptive limited contrast enhancement is proposed. Firstly, using the physical model of infrared atmospheric transmission and combining the principle of dark primary color enhancement, the infrared image before atmospheric transmission degradation is restored. Afterwards, the enhanced image is divided into basic sub-graphs and detailed sub-graphs by using the method of guided filtering. The basic sub-graph is further adjusted by Limit contrast histogram enhancement (CLAHE) algorithm, and the detailed sub-graph is processed by gamma transform after being filtered by non-local mean filtering. Finally, wavelet transform is used to fuse the two enhanced sub-graphs. The experimental results show that the algorithm can effectively improve the contrast of the image and make the details of the image highlight.

Paper Details

Date Published: 29 October 2018
PDF: 7 pages
Proc. SPIE 10836, 2018 International Conference on Image and Video Processing, and Artificial Intelligence, 108360V (29 October 2018); doi: 10.1117/12.2514804
Show Author Affiliations
Chenlong Guo, Science and Technology on Electro-optic Control Lab. (China)
Luoyang Institute of Electro-Optical Equipment (China)
JingWei Chen, Zhejiang Univ. (China)
Dafei Wang, Nanjing Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 10836:
2018 International Conference on Image and Video Processing, and Artificial Intelligence
Ruidan Su, Editor(s)

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