This article details two approaches to compute barycenters of measures using 1-D
Wasserstein distances along radial projections of the input measures. The first method …

In most professional cinema productions, the color palette of the movie is painstakingly
adjusted by a team of skilled colorists–through a process referred to as color grading–to …

We consider the problem of exact histogram specification for digital (quantized) images. The
goal is to transform the input digital image into an output (also digital) image that follows a …

We present a novel variational approach to image restoration (eg, denoising, inpainting,
labeling) that enables us to complement established variational approaches with a …

This paper introduces a centroid-based (CB) supervised classification algorithm of textured
images. In the context of scale/orientation decomposition, we demonstrate the possibility to …

Variational methods play a fundamental role in mathematical image analysis as a bridge
between models and algorithms. A major challenge is to formulate a given model as a …

Variational methods constitute the basic building blocks for solving many image analysis
tasks, be it segmentation, depth estimation, optical flow, object detection etc. Many of these …