In this paper, we present a new non-parametric combined segmentation and registration method. The problem is cast as an optimization one, combining a matching criterion based on th...
Multi-class labeling is one of the core problems in image analysis. We show how this combinatorial problem can be approximately solved using tools from convex optimization. We sugg...
In this work, we propose novel results for the optimization of divergences within the framework of region-based active contours. We focus on parametric statistical models where th...
Abstract. In this paper, we propose an orientation-matching minimization for denoising digital images with an additive noise. Inspired by the two-step algorithm in the TV-Stokes de...
Abstract. Measurements in nanoscopic imaging suffer from blurring effects concerning different point spread functions (PSF). Some apparatus even have PSFs that are locally depend...