Adaptive Monte Carlo methods are specialized Monte Carlo simulation techniques where the methods are adaptively tuned as the simulation progresses. The primary focus of such techn...
We present a fast variational deconvolution algorithm that minimizes a quadratic data term subject to a regularization on the 1 -norm of the wavelet coefficients of the solution. ...
In this paper we present an algorithm for thresholding images of historical documents. The main objective is to generate high quality monochromatic images in order to make them eas...
In this paper, we present a binarization technique specifically designed for historical document images. Existing methods for this problem focus on either finding a good global th...
Variational methods are among the most accurate techniques for estimating the optic flow. They yield dense flow fields and can be designed such that they preserve discontinuities, ...