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: Article査読

    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 at images. We confirm the effectiveness of the proposed method quantitatively and qualitatively.

    本文言語English
    ページ(範囲)2146-2153
    ページ数8
    ジャーナルIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
    E100A
    10
    DOI
    出版ステータスPublished - 2017 10 1

    ASJC Scopus subject areas

    • 信号処理
    • コンピュータ グラフィックスおよびコンピュータ支援設計
    • 電子工学および電気工学
    • 応用数学

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