Texture Reconstruction guided by a High-Resolution Patch
Language
en
Article de revue
This item was published in
IEEE Transactions on Image Processing. 2017-02-01, vol. 26, n° 2, p. 549-560
Institute of Electrical and Electronics Engineers
English Abstract
In this paper, we aim at super-resolving a low-resolution texture under the assumption that a high-resolution patch of the texture is available. To do so, we propose a variational method that combines two approaches, that ...Read more >
In this paper, we aim at super-resolving a low-resolution texture under the assumption that a high-resolution patch of the texture is available. To do so, we propose a variational method that combines two approaches, that are texture synthesis and image reconstruction. The resulting objective function holds a nonconvex energy that involves a quadratic distance to the low-resolution image, a histogram-based distance to the high-resolution patch, and a nonlocal regularization that links the missing pixels with the patch pixels. As for the histogram-based measure, we use a sum of Wasserstein distances between the histograms of some linear transformations of the textures. The resulting optimization problem is efficiently solved with a primal-dual proximal method. Experiments show that our method leads to a significant improvement, both visually and numerically, with respect to state-of-the-art algorithms for solving similar problems.Read less <
English Keywords
Super-Resolution
Texture Synthesis
Texture Reconstruction
Wasserstein distance
Histograms
Proximal algorithms
Origin
Hal imported