Random-valued impulse noise removal using non-local search for similar structures and sparse representation

Kengo Tsuda, Takanori Fujisawa, Masaaki Ikehara

    研究成果: Conference contribution

    1 被引用数 (Scopus)

    抄録

    In this paper, we introduce a new method to remove random-valued impulse noise in an image. Random-valued impulse noise replaces the pixel value at a random position by a random value. Due to the randomness of the noisy pixel values, it is difficult to detect them by comparison with neighboring pixels, which is used in many conventional methods. Then we improve the recent noise detector which uses a non-local search of similar structure. Next we propose a new noise removal algorithm by sparse representation using DCT basis. Furthermore, the sparse representation can remove impulse noise by using the neighboring similar image patch. This method has much more superior noise removal performance than conventional methods.

    本文言語English
    ホスト出版物のタイトル2018 International Workshop on Advanced Image Technology, IWAIT 2018
    出版社Institute of Electrical and Electronics Engineers Inc.
    ページ1-4
    ページ数4
    ISBN(電子版)9781538626153
    DOI
    出版ステータスPublished - 2018 5 30
    イベント2018 International Workshop on Advanced Image Technology, IWAIT 2018 - Chiang Mai, Thailand
    継続期間: 2018 1 72018 1 9

    Other

    Other2018 International Workshop on Advanced Image Technology, IWAIT 2018
    国/地域Thailand
    CityChiang Mai
    Period18/1/718/1/9

    ASJC Scopus subject areas

    • コンピュータ ネットワークおよび通信
    • コンピュータ ビジョンおよびパターン認識
    • メディア記述

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