Marine infrared image enhancement based on atmospheric model and CLAHE
Jingwei Chen, Guo Chenlong, Wang Dafei · 2018
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.