Markov random field models provide a robust and unified framework for early vision problems such as stereo, optical flow and image restoration. Inference algorithms based on graph...
A spatially adaptive image deblurring algorithm is presented for Poisson observations. It adapts to the unknown image smoothness by using local polynomial approximation (LPA) kern...
Alessandro Foi, Sakari Alenius, Mejdi Trimeche, Vl...
Processing of multidimensional image data which were acquired by a linear imaging system of unknown point-spread function (PSF) is an important problem whose solution usually requi...
Restoring the fine detail in the slide area of a defocused lecture video is a challenging task. In this work, we propose to use clean images of slides available along with the def...
Ngai-Man Cheung, David M. Chen, Vijay Chandrasekha...
Paper-based folders have been widely used to coordinate cares in medical-social networks, but they introduce some burning issues (e.g. privacy protection, remote access to the fol...
Nicolas Anciaux, Mehdi Benzine, Luc Bouganim, K&ea...