In this paper, we propose a new method to reconstruct high resolution images from structured illumination microscopy. It consists of estimating the illumination pattern parameters...
Clovis Tauber, Pedro Felipe Gardeazabal Rodriguez,...
Variational models for image segmentation have many applications, but can be slow to compute. Recently, globally convex segmentation models have been introduced which are very rel...
Shape-from-Shading (SfS) is a fundamental problem in Computer Vision; it is based upon the image irradiance equation. Recently, the authors proposed to solve the image irradiance ...
Compressive sensing is the reconstruction of sparse images or signals from very few samples, by means of solving a tractable optimization problem. In the context of MRI, this can ...
A fast super-resolution reconstruction algorithm designed for license plate recognition is proposed in this paper. It uses a new reduced cost function to produce images of higher ...