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 Dec 1
    Event2013 21st International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2013 - Naha, Okinawa, Japan
    Duration: 2013 Nov 122013 Nov 15

    Publication series

    NameISPACS 2013 - 2013 International Symposium on Intelligent Signal Processing and Communication Systems

    Other

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

    Keywords

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

    ASJC Scopus subject areas

    • Artificial Intelligence
    • Signal Processing

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  • 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] (ISPACS 2013 - 2013 International Symposium on Intelligent Signal Processing and Communication Systems). https://doi.org/10.1109/ISPACS.2013.6704604