Joint bilateral based image denoising using multi-sized 2D hard threshold

Takuro Yamaguchi, Masaaki Ikehara

    研究成果: Conference contribution

    抄録

    Non-local processing based denoising methods obtain high quality outputs. However, they have high calculation costs due to the non-local processing. In this paper, we focus on the bilateral filter instead of non-local processing. Although bilateral filter is a traditional local processing filter which can preserve edges, it cannot remove strong noise. Therefore, we utilize the joint bilateral filter, which calculates filter coefficients using another reference image. For adaptation to single image denoising, we utilize a pre-estimated image by the hard threshold operation in 2D frequency domain. To obtain a pre-estimated noiseless image while preserving image details, we apply multi-sized hard threshold operation and aggregate their outputs. Moreover, we change the estimation of the joint bilateral filter coefficients whether a target pixel is in an edge regions or not. By these improvements, our proposed method removes noise with preserving image details in a low calculation cost and experimental results show our method has comparable quality to non-local denoising methods.

    本文言語English
    ホスト出版物のタイトルProceedings - 9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017
    出版社Institute of Electrical and Electronics Engineers Inc.
    ページ1178-1181
    ページ数4
    2018-February
    ISBN(電子版)9781538615423
    DOI
    出版ステータスPublished - 2018 2 5
    イベント9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017 - Kuala Lumpur, Malaysia
    継続期間: 2017 12 122017 12 15

    Other

    Other9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017
    国/地域Malaysia
    CityKuala Lumpur
    Period17/12/1217/12/15

    ASJC Scopus subject areas

    • 人工知能
    • 人間とコンピュータの相互作用
    • 情報システム
    • 信号処理

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