Blind Haze Separation

10 years 3 months ago
Blind Haze Separation
Outdoor imaging is plagued by poor visibility conditions due to atmospheric scattering, particularly in haze. A major problem is spatially-varying reduction of contrast by stray radiance (airlight), which is scattered by the haze particles towards the camera. Recent computer vision methods have shown that images can be compensated for haze, and even yield a depth map of the scene. A key step in such a scene recovery is subtraction of the airlight. In particular, this can be achieved by analyzing polarization-filtered images. However, the recovery requires parameters of the airlight. These parameters were estimated in past studies by measuring pixels in sky areas. This paper derives an approach for blindly recovering the parameter needed for separating the airlight from the measurements, thus recovering contrast, with neither user interaction nor existence of the sky in the frame. This eases the interaction and conditions needed for image dehazing, which also requires compensation for ...
Sarit Shwartz, Einav Namer, Yoav Y. Schechner
Added 22 Aug 2010
Updated 22 Aug 2010
Type Conference
Year 2006
Where CVPR
Authors Sarit Shwartz, Einav Namer, Yoav Y. Schechner
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