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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Tae Ho Kil Sang Hwa Lee Nam Ik Cho |
| Copyright Year | 2013 |
| Description | Author affiliation: Dept. of Electr. & Comput. Eng., Seoul Nat. Univ., Seoul, South Korea (Tae Ho Kil; Sang Hwa Lee; Nam Ik Cho) |
| Abstract | The dark channel prior is generally a powerful prior for single image dehazing, but it is invalid when there are objects which have similar colors to the atmospheric light. It is difficult to find the accurate transmission factor in this case, and thus the results show some color distortion. This paper proposes a new algorithm for the estimation of correct transmission map regardless of object color. The proposed method defines a reliability map that depicts how much the objects or areas meet the dark channel prior assumption, and then estimate the transmission map using the reliable pixels only. The transmission factors at the unreliable pixels are estimated by linear fitting using the reliable neighboring pixels. Experiments show that the dehazed images by the proposed method have less color distortion than the results by the conventional algorithm. |
| Starting Page | 882 |
| Ending Page | 885 |
| File Size | 1245030 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781479923410 |
| DOI | 10.1109/ICIP.2013.6738182 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-09-15 |
| Publisher Place | Australia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Reliability Image color analysis Image segmentation Channel estimation Meteorology Mathematical model Estimation image segmentation dehazing image enhancement dark channel prior |
| Content Type | Text |
| Resource Type | Article |
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