Geometric and Texture Inpainting by Gibbs Sampling

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

Standard

Geometric and Texture Inpainting by Gibbs Sampling. / Gustafsson, David Karl John; Pedersen, Kim Steenstrup; Nielsen, Mads.

Proceedings SSBA 2007: Symposium on inage analysis, Linköping, March 14-14, 2007. red. / Magnus Borga; Anders Brun; Michael Felsberg. Linköpings Universitet, 2007. (Institutionen för medicinsk teknik, Universitetet i Linköping; Nr. LiU-IMT-R-0047).

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

Harvard

Gustafsson, DKJ, Pedersen, KS & Nielsen, M 2007, Geometric and Texture Inpainting by Gibbs Sampling. i M Borga, A Brun & M Felsberg (red), Proceedings SSBA 2007: Symposium on inage analysis, Linköping, March 14-14, 2007. Linköpings Universitet, Institutionen för medicinsk teknik, Universitetet i Linköping, nr. LiU-IMT-R-0047, Symposium on Image Analysis, Linköping, Sverige, 14/03/2007.

APA

Gustafsson, D. K. J., Pedersen, K. S., & Nielsen, M. (2007). Geometric and Texture Inpainting by Gibbs Sampling. I M. Borga, A. Brun, & M. Felsberg (red.), Proceedings SSBA 2007: Symposium on inage analysis, Linköping, March 14-14, 2007 Linköpings Universitet. Institutionen för medicinsk teknik, Universitetet i Linköping Nr. LiU-IMT-R-0047

Vancouver

Gustafsson DKJ, Pedersen KS, Nielsen M. Geometric and Texture Inpainting by Gibbs Sampling. I Borga M, Brun A, Felsberg M, red., Proceedings SSBA 2007: Symposium on inage analysis, Linköping, March 14-14, 2007. Linköpings Universitet. 2007. (Institutionen för medicinsk teknik, Universitetet i Linköping; Nr. LiU-IMT-R-0047).

Author

Gustafsson, David Karl John ; Pedersen, Kim Steenstrup ; Nielsen, Mads. / Geometric and Texture Inpainting by Gibbs Sampling. Proceedings SSBA 2007: Symposium on inage analysis, Linköping, March 14-14, 2007. red. / Magnus Borga ; Anders Brun ; Michael Felsberg. Linköpings Universitet, 2007. (Institutionen för medicinsk teknik, Universitetet i Linköping; Nr. LiU-IMT-R-0047).

Bibtex

@inproceedings{f82eef80b55711dcbee902004c4f4f50,
title = "Geometric and Texture Inpainting by Gibbs Sampling",
abstract = "This paper discuss a method suitable for inpaintingboth large scale geometric structures and more stochastic texture components. Image inpaintingconcerns the problem of reconstructing the intensitycontents inside regions of missing data. Commontechniques for solving this problem are methods based on variational calculus and based onstatistical methods. Variationalmethods are good atreconstructing large scale geometric structures buthave a tendency to smooth away texture. On the contrary statistical methods can reproduce texturefaithfully but fails to reconstruct large scalestructures. In this paper we use the well-knownFRAME (Filters, Random Fields and Maximum Entropy) for inpainting. We introduce a temperature term inthe learned FRAME Gibbs distribution. By samplingusing different temperature in the FRAME Gibbsdistribution, different contents of the image are reconstructed. We propose a two step method forinpainting using FRAME. First the geometricstructure of the image is reconstructed by samplingfrom a cooled Gibbs distribution, then the stochastic component is reconstructed by samplefroma heated Gibbs distribution. Both steps in thereconstruction process are necessary, and contributein two very different ways to the appearance of the reconstruction.",
author = "Gustafsson, {David Karl John} and Pedersen, {Kim Steenstrup} and Mads Nielsen",
year = "2007",
language = "English",
series = "Institutionen f{\"o}r medicinsk teknik, Universitetet i Link{\"o}ping",
publisher = "Link{\"o}pings Universitet",
number = "LiU-IMT-R-0047",
editor = "Magnus Borga and Anders Brun and Michael Felsberg",
booktitle = "Proceedings SSBA 2007",
note = "null ; Conference date: 14-03-2007 Through 15-03-2007",

}

RIS

TY - GEN

T1 - Geometric and Texture Inpainting by Gibbs Sampling

AU - Gustafsson, David Karl John

AU - Pedersen, Kim Steenstrup

AU - Nielsen, Mads

PY - 2007

Y1 - 2007

N2 - This paper discuss a method suitable for inpaintingboth large scale geometric structures and more stochastic texture components. Image inpaintingconcerns the problem of reconstructing the intensitycontents inside regions of missing data. Commontechniques for solving this problem are methods based on variational calculus and based onstatistical methods. Variationalmethods are good atreconstructing large scale geometric structures buthave a tendency to smooth away texture. On the contrary statistical methods can reproduce texturefaithfully but fails to reconstruct large scalestructures. In this paper we use the well-knownFRAME (Filters, Random Fields and Maximum Entropy) for inpainting. We introduce a temperature term inthe learned FRAME Gibbs distribution. By samplingusing different temperature in the FRAME Gibbsdistribution, different contents of the image are reconstructed. We propose a two step method forinpainting using FRAME. First the geometricstructure of the image is reconstructed by samplingfrom a cooled Gibbs distribution, then the stochastic component is reconstructed by samplefroma heated Gibbs distribution. Both steps in thereconstruction process are necessary, and contributein two very different ways to the appearance of the reconstruction.

AB - This paper discuss a method suitable for inpaintingboth large scale geometric structures and more stochastic texture components. Image inpaintingconcerns the problem of reconstructing the intensitycontents inside regions of missing data. Commontechniques for solving this problem are methods based on variational calculus and based onstatistical methods. Variationalmethods are good atreconstructing large scale geometric structures buthave a tendency to smooth away texture. On the contrary statistical methods can reproduce texturefaithfully but fails to reconstruct large scalestructures. In this paper we use the well-knownFRAME (Filters, Random Fields and Maximum Entropy) for inpainting. We introduce a temperature term inthe learned FRAME Gibbs distribution. By samplingusing different temperature in the FRAME Gibbsdistribution, different contents of the image are reconstructed. We propose a two step method forinpainting using FRAME. First the geometricstructure of the image is reconstructed by samplingfrom a cooled Gibbs distribution, then the stochastic component is reconstructed by samplefroma heated Gibbs distribution. Both steps in thereconstruction process are necessary, and contributein two very different ways to the appearance of the reconstruction.

M3 - Article in proceedings

T3 - Institutionen för medicinsk teknik, Universitetet i Linköping

BT - Proceedings SSBA 2007

A2 - Borga, Magnus

A2 - Brun, Anders

A2 - Felsberg, Michael

PB - Linköpings Universitet

Y2 - 14 March 2007 through 15 March 2007

ER -

ID: 2030868