Abstract
In this paper we present a new method for estimating the optical transmission in hazy scenes given a single input image. Based on this estimation, the scattered light is eliminated to increase scene visibility and recover haze-free scene contrasts. In this new approach we formulate a refined image formation model that accounts for surface shading in addition to the transmission function. This allows us to resolve ambiguities in the data by searching for a solution in which the resulting shading and transmission functions are locally statistically uncorrelated. A similar principle is used to estimate the color of the haze. Results demonstrate the new method abilities to remove the haze layer as well as provide a reliable transmission estimate which can be used for additional applications such as image refocusing and novel view synthesis.
Original language | American English |
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Article number | 72 |
Journal | ACM Transactions on Graphics |
Volume | 27 |
Issue number | 3 |
DOIs | |
State | Published - 1 Aug 2008 |
Keywords
- Computational photography
- Image dehazing/defogging
- Image enhancement
- Image restoration
- Markov random field image modeling