Scalable and Iterative Image Super-resolution using DCT Interpolation and Sparse Representation

Saulo R. S. Reis, Graça Bressan

2015

Abstract

In a scenario where acquisition systems have limited resources or available images do not have good quality, super-resolution (SR) techniques are an excellent alternative for improving the image quality. The traditional SR methods proposed in the literature are effective in HR image reconstruction to a magnification factor up to 2. In recent years, example-based SR methods have shown excellent results in the HR image reconstruction to magnification factor 3 or more. In this paper, we propose a scalable and iterative algorithm for single-image SR using a two-step strategy with DCT interpolation and the sparse-based learning method. The method proposed implements some improvements in the dictionary training and the reconstruction process. A new dictionary is built by using an unsharp mask technique for feature extraction. The idea is to reduce the learning time by using two different small dictionaries. The results were compared with others interpolation-based and SR methods and demonstrated the effectiveness of the algorithm proposed in terms of PSNR, SSIM and Visual Quality.

Paper Citation

in Harvard Style

Reis S. and Bressan G. (2015). Scalable and Iterative Image Super-resolution using DCT Interpolation and Sparse Representation . In Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2015) ISBN 978-989-758-089-5, pages 463-470. DOI: 10.5220/0005295304630470

in Bibtex Style

@conference{visapp15,
author={Saulo R. S. Reis and Graça Bressan},
title={Scalable and Iterative Image Super-resolution using DCT Interpolation and Sparse Representation},
booktitle={Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2015)},
year={2015},
pages={463-470},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005295304630470},
isbn={978-989-758-089-5},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2015)
TI - Scalable and Iterative Image Super-resolution using DCT Interpolation and Sparse Representation
SN - 978-989-758-089-5
AU - Reis S.
AU - Bressan G.
PY - 2015
SP - 463
EP - 470
DO - 10.5220/0005295304630470