Super-resolutions based on shock filter and non local means with BM3D for congruity

Ken Iwamoto, Taichi Yoshida, Masaaki Ikehara

    研究成果: Conference contribution

    抄録

    In this paper, we propose two kind of image superresolution methods based on the shock filter and non local means(NLM). One is a method using shock filter to enhance the high frequency components. Another is a method using NLM based on self similarity of images. Compared with interpolation, super-resolution should produce high resolution images by correctly generating their missing high frequency components. The shock filter based method only applies the shock filter to the high frequency components of an enlarged image by the linear interpolation method. Since the proposed method effectively enhances the sharpness of edges and avoids the over enhancement of texture and smooth regions, the enlarged image is natural and the computational complexity is very low. The NLM based method achieves a high resolution image by using self similarity. It is possible to reduce computational complexity and get good quality of the image by the similarity between the low and high resolution images. In order to improve the quality further, we utilize BM3D which is used in denoising for the super-resolution based on image congruity. In simulations, the proposed method objectively and perceptually shows better results than the conventional method.

    本文言語English
    ホスト出版物のタイトルTENCON 2014 - 2014 IEEE Region 10 Conference
    出版社Institute of Electrical and Electronics Engineers Inc.
    ISBN(電子版)9781479940752
    DOI
    出版ステータスPublished - 2015 1 26
    イベント2014 IEEE Region 10 Conference, TENCON 2014 - Bangkok, Thailand
    継続期間: 2014 10 222014 10 25

    出版物シリーズ

    名前IEEE Region 10 Annual International Conference, Proceedings/TENCON
    2015-January
    ISSN(印刷版)2159-3442
    ISSN(電子版)2159-3450

    Other

    Other2014 IEEE Region 10 Conference, TENCON 2014
    国/地域Thailand
    CityBangkok
    Period14/10/2214/10/25

    ASJC Scopus subject areas

    • コンピュータ サイエンスの応用
    • 電子工学および電気工学

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