Single-frame super-resolution using superpixel based dictionary

Taku Nakahara, Kazunori Uruma, Tomohiro Takahashi, Toshihiro Furukawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

This paper proposes a single-frame super-resolution algorithm based on the dictionary learning technique. A lot of studies of the dictionary learning based super-resolution algorithm achieve a high performance. However, the dictionary learning based algorithm often demands the sample image set to construct the dictionaries, and the performance of the algorithm depend heavily on the sample image set. Then, this paper proposes to construct an appropriate dictionary without using sample image set, and a new super resolution algorithm is proposed. In order to construct an appropriate dictionary using an input low resolution image, this paper introduces the superpixel based image segmentation technique. Experiment results show the effectiveness of the proposed algorithm.

Original languageEnglish
Title of host publication2016 IEEE 59th International Midwest Symposium on Circuits and Systems, MWSCAS 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509009169
DOIs
Publication statusPublished - 2 Jul 2016
Event59th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2016 - Abu Dhabi, United Arab Emirates
Duration: 16 Oct 201619 Oct 2016

Publication series

NameMidwest Symposium on Circuits and Systems
Volume0
ISSN (Print)1548-3746

Conference

Conference59th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2016
CountryUnited Arab Emirates
CityAbu Dhabi
Period16/10/1619/10/16

Keywords

  • Dictionary
  • Sparse representation
  • Super-resolution
  • Superpixel segmentation

Cite this

Nakahara, T., Uruma, K., Takahashi, T., & Furukawa, T. (2016). Single-frame super-resolution using superpixel based dictionary. In 2016 IEEE 59th International Midwest Symposium on Circuits and Systems, MWSCAS 2016 [7870029] (Midwest Symposium on Circuits and Systems; Vol. 0). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MWSCAS.2016.7870029