Image dehazing using two‐dimensional canonical correlation analysis
Image dehazing is an important issue that interests both image processing and computer vision. In this study, image dehazing is modelled as an example‐based learning problem, and a novel dehazing algorithm using two‐dimensional (2D) canonical correlation analysis (CCA) is proposed. By assuming that...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2015-12-01
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| Series: | IET Computer Vision |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/iet-cvi.2014.0324 |