The deconvolution of blurred and noisy satellite images is an ill-posed inverse problem, which can be regularized within a Bayesian context by using an a priori model of the recon...
Ringing is the most disturbing artifact in the image deconvolution. In this paper, we present a progressive inter-scale and intra-scale non-blind image deconvolution approach that ...
Abstract--We address the problem of computing a local orientation map in a digital image. We show that standard image gray level quantization causes a strong bias in the repartitio...
While research on articulated human motion and pose estimation has progressed rapidly in the last few years, there has been no systematic quantitative evaluation of competing meth...
Leonid Sigal, Alexandru O. Balan, Michael J. Black
Abstract— The fluctuations of the price of crude oil is pushing the oil companies to increase the investments in seismic exploration of new oil and gas reservoir. Seismic explor...