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Authors: Seiichi Gohshi and Michikazu Akasu

Affiliation: Kogakuin University, Japan

ISBN: 978-989-758-260-8

ISSN: 2184-2825

Keyword(s): Super Resolution, Super Resolution Image Reconstruction, Low Resolution Image, High Resolution Image, Blur.

Related Ontology Subjects/Areas/Topics: Design and Implementation of Signal Processing Systems ; Digital Audio and Video Broadcasting ; Image and Video Processing, Compression and Segmentation ; Interactive Multimedia: Games and Digital Television ; Multimedia ; Multimedia and Communications ; Multimedia Signal Processing ; Multimedia Systems and Applications ; Telecommunications

Abstract: Super Resolution (SR) is a technique for improving the resolution of digital images. Super Resolution Image Reconstruction (SRR) is one of the most common SR techniques. However, in addition to SRR, there are several other techniques to improve image resolution. A technique called Blind Deconvolution (BD) has been used to process out of focus images in the field of astronomy. When BD was first described, in the 1970s, it was not considered to be a viable candidate to be used for SR. However, the process of improving resolution is very similar to that of focusing images. SRR and BD both use iterations to create a high quality image from low resolution images. Compared with SRR, BD comes with some disadvantages. For example, algorithms sometimes cause divergences or limit cycles which means that the high resolution image cannot be obtained. In this study, we describe a method of fixing the issues that prevent BD from achieving a high-resolution image using simulation to increas e its stability. The output from the improved algorithm for BD is compared with the current SR technique, SRR. We show that the BD technique is in fact superior to SRR. (More)

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Paper citation in several formats:
Gohshi, S. and Akasu, M. (2017). Performance of Blind Deconvolution and Super Resolution Image Reconstruction.In Proceedings of the 14th International Joint Conference on e-Business and Telecommunications - Volume 6: SIGMAP, (ICETE 2017) ISBN 978-989-758-260-8, ISSN 2184-2825, pages 69-76. DOI: 10.5220/0006467400690076

@conference{sigmap17,
author={Seiichi Gohshi. and Michikazu Akasu.},
title={Performance of Blind Deconvolution and Super Resolution Image Reconstruction},
booktitle={Proceedings of the 14th International Joint Conference on e-Business and Telecommunications - Volume 6: SIGMAP, (ICETE 2017)},
year={2017},
pages={69-76},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006467400690076},
isbn={978-989-758-260-8},
}

TY - CONF

JO - Proceedings of the 14th International Joint Conference on e-Business and Telecommunications - Volume 6: SIGMAP, (ICETE 2017)
TI - Performance of Blind Deconvolution and Super Resolution Image Reconstruction
SN - 978-989-758-260-8
AU - Gohshi, S.
AU - Akasu, M.
PY - 2017
SP - 69
EP - 76
DO - 10.5220/0006467400690076

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