Abstract
Photographs of hazy scenes typically suffer having low contrast and offer a limited visibility of the scene. This article describes a new method for single-image dehazing that relies on a generic regularity in natural images where pixels of small image patches typically exhibit a 1D distribution in RGB color space, known as color-lines. We derive a local formation model that explains the color-lines in the context of hazy scenes and use it for recovering the scene transmission based on the lines' offset from the origin. The lack of a dominant color-line inside a patch or its lack of consistency with the formation model allows us to identify and avoid false predictions. Thus, unlike existing approaches that…
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1,141
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Authors
1Topics & keywords
Topics
Keywords
- Computer science
- Pixel
- Artificial intelligence
- RGB color model
- Computer vision
- Markov random field
- Offset (computer science)
- Color image
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