Edge based Blind Single Image Deblurring with Sparse Priors

Khouloud Guemri, Fadoua Drira, Rim Walha, Adel M. Alimi, Frank LeBourgeois

2017

Abstract

Blind image deblurring is the estimation of the blur kernel and the latent sharp image from a blurry image. This makes it a significant ill-posed problem with various investigations looking for adequate solutions. The recourse to image priors have been noticed in recent approaches to improve final results. One of the most interesting results are based on data priors. This has been the starting point to the proposed blind image deblurring system. In particular, this study explores the potential of the sparse representation widely known for its efficiency in several reconstruction tasks. In fact, we propose a sparse representation based iterative deblurring method that exploits sparse constraints of edge based image patches. This process includes the K-SVD algorithm useful for the dictionary definition. Our main contributions are (1) the application of a shock filter as a pre-processing step followed by filter sub-bands applications for an effective contour detection, (2) the use of an online training data-sets with elementary patterns to describe edge-based information and (3) the recourse to an adaptative dictionary training. The experimental study illustrates promising results of the proposed deblurring method compared to the well-known state-of-the-art methods.

Paper Citation

in Harvard Style

Guemri K., Drira F., Walha R., Alimi A. and LeBourgeois F. (2017). Edge based Blind Single Image Deblurring with Sparse Priors . In Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, (VISIGRAPP 2017) ISBN 978-989-758-225-7, pages 174-181. DOI: 10.5220/0006129001740181

in Bibtex Style

@conference{visapp17,
author={Khouloud Guemri and Fadoua Drira and Rim Walha and Adel M. Alimi and Frank LeBourgeois},
title={Edge based Blind Single Image Deblurring with Sparse Priors},
booktitle={Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, (VISIGRAPP 2017)},
year={2017},
pages={174-181},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006129001740181},
isbn={978-989-758-225-7},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, (VISIGRAPP 2017)
TI - Edge based Blind Single Image Deblurring with Sparse Priors
SN - 978-989-758-225-7
AU - Guemri K.
AU - Drira F.
AU - Walha R.
AU - Alimi A.
AU - LeBourgeois F.
PY - 2017
SP - 174
EP - 181
DO - 10.5220/0006129001740181