Texture synthesis guided by a low-resolution image
EL GHECHE, Mireille
Laboratoire de l'intégration, du matériau au système [IMS]
Institut de Mathématiques de Bordeaux [IMB]
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Laboratoire de l'intégration, du matériau au système [IMS]
Institut de Mathématiques de Bordeaux [IMB]
EL GHECHE, Mireille
Laboratoire de l'intégration, du matériau au système [IMS]
Institut de Mathématiques de Bordeaux [IMB]
< Reduce
Laboratoire de l'intégration, du matériau au système [IMS]
Institut de Mathématiques de Bordeaux [IMB]
Language
en
Communication dans un congrès
This item was published in
Workshop, IEEE Image Video and Multidimensional Signal Processing (IVMSP), 2016-07-11, Bordeaux. 2016-07-11p. 1 - 5
IEEE
English Abstract
In this paper, we aim at synthesizing a texture from a high-resolution patch and a low-resolution image. To do so, we solve a nonconvex optimization problem that involves a statistical prior and a Fourier spectrum constraint. ...Read more >
In this paper, we aim at synthesizing a texture from a high-resolution patch and a low-resolution image. To do so, we solve a nonconvex optimization problem that involves a statistical prior and a Fourier spectrum constraint. The numerical analysis shows that the proposed approach achieves better results (in terms of visual quality) than state-of-the-art methods tailored to super-resolution or texture synthesis.Read less <
English Keywords
Super resolution
Wasserstein distance
Random phase texture
Proximal algorithms
optimization
Nonconvex optimization
Texture synthesis
Origin
Hal imported