MATEC Web Conf.
Volume 75, 20162016 International Conference on Measurement Instrumentation and Electronics (ICMIE 2016)
|Number of page(s)||4|
|Section||Signal Processing and Pattern Recognition|
|Published online||01 September 2016|
Image Haze Removal Using Dark Channel Prior and Inverse Image
1 Institute of Oceanographic Instrumentation, Shandong Academy of Sciences, Qingdao, China
2 Luoyang Institute of electro-optical devices, China Aviation Industry Corporation, Luoyang, China
Image haze removal using dark channel prior is prone to encountering color distortion in sky and brightness region. To solve the problem, we proposed an improved method based on inverse image and dark channel prior. Firstly, we applied inverse image to estimating a new transmission map. The new transmission map can be used to modify original transmission map in order to avoid color distortion. Next, fast guider filter was applied to refining transmission map. Using the transmission map, we can recover a high quality haze-free image. Experimental results showed that the proposed method is feasible, and visibility can be enhanced.
© The Authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.