loading
Papers

Research.Publish.Connect.

Paper

Paper Unlock

Authors: J. M. Berthommé ; T. Chateau and M. Dhome

Affiliation: Université Blaise Pascal, France

ISBN: 978-989-8565-47-1

Keyword(s): Image Inpainting, Information Theory, Blind Spot.

Related Ontology Subjects/Areas/Topics: Color and Texture Analyses ; Computer Vision, Visualization and Computer Graphics ; Early and Biologically-Inspired Vision ; Features Extraction ; Image and Video Analysis ; Image Enhancement and Restoration ; Image Formation and Preprocessing

Abstract: This paper shows how information theory can both drive the digital image inpainting process and the optical illusion due to the blind spot. The defended position is that the missing information is padded by the ``most probable information around'' via a simple filling-in scheme. Thus the proposed algorithm aims to keep the entropy constant. It cares not to create too much novelty as well as not to destroy too much information. For this, the image is broken down into regular squares in order to build a dictionary of unique words and to estimate the entropy. Then the occluded region is completed, word by word and layer by layer, by picking the element which respects the existing image, which minimizes the entropy deviation if there are several candidates, and which limits its potential increase in the case where no compatible word exists and where a new one must be introduced.

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 100.24.122.228

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Berthommé, J.; Chateau, T. and Dhome, M. (2013). How to use Information Theory for Image Inpainting and Blind Spot Filling-in?.In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2013) ISBN 978-989-8565-47-1, pages 97-100. DOI: 10.5220/0004216300970100

@conference{visapp13,
author={J. M. Berthommé. and T. Chateau. and M. Dhome.},
title={How to use Information Theory for Image Inpainting and Blind Spot Filling-in?},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2013)},
year={2013},
pages={97-100},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004216300970100},
isbn={978-989-8565-47-1},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2013)
TI - How to use Information Theory for Image Inpainting and Blind Spot Filling-in?
SN - 978-989-8565-47-1
AU - Berthommé, J.
AU - Chateau, T.
AU - Dhome, M.
PY - 2013
SP - 97
EP - 100
DO - 10.5220/0004216300970100

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.