Markov Random Fields are widely used in many image processing applications. Recently the shortcomings of some of the simpler forms of these models have become apparent, and models ...
We present a grand challenge to build a corpus that will include all of the world's languages, in a consistent structure that permits large-scale cross-linguistic processing,...
In this paper, we propose a novel technique for estimating focused image sequences captured by an out-of-focus camera. The basic concept used in the proposed algorithm employs mul...
The application of the wavelet transform in image processing is most frequently based on a separable transform. Lines and columns in an image are treated independently and the bas...
Pier Luigi Dragotti, Vladan Velisavljevic, Martin ...
Spatially-correlated intra-die process variations result in significant core-to-core frequency variations in chip-multiprocessors. An analytical model for frequency island chip-mu...