Image super-resolution method based on non-local means and self similarity

Taichi Yoshida, Tomoya Murakami, Masaaki Ikehara

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

2 Citations (Scopus)

Abstract

In this paper, we propose an image super-resolution method based on the non-local means and the self similarity. Various super-resolution methods can correctly estimate the missing high frequency components of enlarged images. However, they mostly require high computational costs, which is not suitable for real-time processing. For a super-resolution with low computational costs, the proposed method is simply realized via the block matching technique with a small search area. Since it utilizes the image self similarity and sparsity, it produces visually efficient interpolated images. In the simulation, it is shown that the proposed method greatly outperforms the bicubic in a visual quality of enlarged images, objectively and perceptually.

Original languageEnglish
Title of host publicationISPACS 2013 - 2013 International Symposium on Intelligent Signal Processing and Communication Systems
Pages509-512
Number of pages4
DOIs
Publication statusPublished - 2013
Event2013 21st International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2013 - Naha, Okinawa, Japan
Duration: 2013 Nov 122013 Nov 15

Other

Other2013 21st International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2013
CountryJapan
CityNaha, Okinawa
Period13/11/1213/11/15

    Fingerprint

Keywords

  • Image super-resolution
  • non-local means
  • self similarity
  • sparse representation

ASJC Scopus subject areas

  • Artificial Intelligence
  • Signal Processing

Cite this

Yoshida, T., Murakami, T., & Ikehara, M. (2013). Image super-resolution method based on non-local means and self similarity. In ISPACS 2013 - 2013 International Symposium on Intelligent Signal Processing and Communication Systems (pp. 509-512). [6704604] https://doi.org/10.1109/ISPACS.2013.6704604