Variational Distance-Dependent Image Restoration

14 years 8 months ago
Variational Distance-Dependent Image Restoration
There is a need to restore color images that suffer from distance-dependent degradation during acquisition. This occurs, for example, when imaging through scattering media. There, signal attenuation worsens with the distance of an object from the camera. A `naive' restoration may attempt to restore the image by amplifying the signal in each pixel according to the distance of its corresponding object. This, however, would amplify the noise in a nonuniform manner. Moreover, standard space-invariant denoising over-blurs close by objects (which have low noise), or insufficiently smoothes distant objects (which are very noisy). We present a variational method to overcome this problem. It uses a regularization operator which is distance dependent, in addition to being edge-preserving and colorchannel coupled. Minimizing this functional results in a scheme of reconstruction-while-denoising. It preserves important features, such as the texture of close by objects and edges of distant one...
Ran Kaftory, Yoav Y. Schechner, Yehoshua Y. Zeevi
Added 12 Oct 2009
Updated 12 Oct 2009
Type Conference
Year 2007
Where CVPR
Authors Ran Kaftory, Yoav Y. Schechner, Yehoshua Y. Zeevi
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