Roussos-Maragos Tensor-Driven Diffusion for Image Interpolation

Roussos and Maragos proposed a method for image interpolation in "Reversible interpolation of vectorial images by an anisotropic diffusion-projection PDE." An earlier version was also published in conference paper (Roussos and Maragos, "Vector-Valued Image Interpolation by an Anisotro...

Full description

Bibliographic Details
Main Author: Pascal Getreuer
Format: Article
Language:English
Published: Image Processing On Line 2011-09-01
Series:Image Processing On Line
Online Access:http://www.ipol.im/pub/art/2011/g_rmdi/
_version_ 1811262755030695936
author Pascal Getreuer
author_facet Pascal Getreuer
author_sort Pascal Getreuer
collection DOAJ
description Roussos and Maragos proposed a method for image interpolation in "Reversible interpolation of vectorial images by an anisotropic diffusion-projection PDE." An earlier version was also published in conference paper (Roussos and Maragos, "Vector-Valued Image Interpolation by an Anisotropic Diffusion-Projection PDE," 2007). Given a discretely sampled image v, the method finds an image u such that v(n) = (h * u)(n), for all n in Z2, where h is the (assumed known) point spread function and * denotes convolution. The method is inspired by tensor-driven diffusion works of Tschumperlé and Weickert. Roussos and Maragos propose interpolation by evolving a diffusion equation to steady state, dt u = P0(div(T gradient(u)), where T is a tensor determined from image structure tensor and the diffusion is orthogonally projected to agree with the observed data. This diffusion is based on the general anisotropic diffusion model proposed by Weickert. The method can be applied to grayscale, color, or general vector-valued images.
first_indexed 2024-04-12T19:32:23Z
format Article
id doaj.art-d8c5df4e24ee4c838c12b6addecc1cc2
institution Directory Open Access Journal
issn 2105-1232
language English
last_indexed 2024-04-12T19:32:23Z
publishDate 2011-09-01
publisher Image Processing On Line
record_format Article
series Image Processing On Line
spelling doaj.art-d8c5df4e24ee4c838c12b6addecc1cc22022-12-22T03:19:19ZengImage Processing On LineImage Processing On Line2105-12322011-09-01117818610.5201/ipol.2011.g_rmdiRoussos-Maragos Tensor-Driven Diffusion for Image InterpolationPascal GetreuerRoussos and Maragos proposed a method for image interpolation in "Reversible interpolation of vectorial images by an anisotropic diffusion-projection PDE." An earlier version was also published in conference paper (Roussos and Maragos, "Vector-Valued Image Interpolation by an Anisotropic Diffusion-Projection PDE," 2007). Given a discretely sampled image v, the method finds an image u such that v(n) = (h * u)(n), for all n in Z2, where h is the (assumed known) point spread function and * denotes convolution. The method is inspired by tensor-driven diffusion works of Tschumperlé and Weickert. Roussos and Maragos propose interpolation by evolving a diffusion equation to steady state, dt u = P0(div(T gradient(u)), where T is a tensor determined from image structure tensor and the diffusion is orthogonally projected to agree with the observed data. This diffusion is based on the general anisotropic diffusion model proposed by Weickert. The method can be applied to grayscale, color, or general vector-valued images.http://www.ipol.im/pub/art/2011/g_rmdi/
spellingShingle Pascal Getreuer
Roussos-Maragos Tensor-Driven Diffusion for Image Interpolation
Image Processing On Line
title Roussos-Maragos Tensor-Driven Diffusion for Image Interpolation
title_full Roussos-Maragos Tensor-Driven Diffusion for Image Interpolation
title_fullStr Roussos-Maragos Tensor-Driven Diffusion for Image Interpolation
title_full_unstemmed Roussos-Maragos Tensor-Driven Diffusion for Image Interpolation
title_short Roussos-Maragos Tensor-Driven Diffusion for Image Interpolation
title_sort roussos maragos tensor driven diffusion for image interpolation
url http://www.ipol.im/pub/art/2011/g_rmdi/
work_keys_str_mv AT pascalgetreuer roussosmaragostensordrivendiffusionforimageinterpolation