Imaging in poor weather is often severely degraded by scattering due to suspended particles in the atmosphere such as haze and fog. In this paper, we propose a novel fast defoggin...
We propose a deblurring algorithm that explicitly takes into account the sparse characteristics of natural images and does not entail solving a numerically ill-conditioned backwar...
Due to the sequential-readout structure of complementary-metal-oxide semiconductor image sensor array, each scanline of the acquired image is exposed at a different time, resulting...
Bayesian inference methods are commonly applied to the classification of brain Magnetic Resonance images (MRI). We use the Maximum Evidence (ME) approach to estimate the most prob...
We present a Bayesian approach to color constancy which utilizes a nonGaussian probabilistic model of the image formation process. The parameters of this model are estimated direc...
Charles R. Rosenberg, Thomas P. Minka, Alok Ladsar...