@inproceedings{b7c1539a407249f7854dad4fba153e7b,
title = "An improved dehazing method based on the transmission compensation",
abstract = "This paper introduces a new method for the image dehazing via the transmission compensation based on the distribution of gray value in an image. By enhancing image contrast within a certain gray level range, it makes the compensation of transmission for the non-bright areas to be relatively small but large for bright areas. Also the compensation for the bright areas is adaptable and changes with the brightness of the image. Experiment results show that: 1) the method can effectively solve the problem of color distortion for bright area and weaken the dividing line caused by the segmentation between the bright area and the rest area; 2) the method can also reduce the time complexity of the algorithm and make the restored image smoother and more natural.",
author = "Haitao Liu and Jin Guo and Sun, \{Chang Yin\}",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 12th World Congress on Intelligent Control and Automation, WCICA 2016 ; Conference date: 12-06-2016 Through 15-06-2016",
year = "2016",
month = sep,
day = "27",
doi = "10.1109/WCICA.2016.7578685",
language = "英语",
series = "Proceedings of the World Congress on Intelligent Control and Automation (WCICA)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2732--2737",
booktitle = "Proceedings of the 2016 12th World Congress on Intelligent Control and Automation, WCICA 2016",
}