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

Takuro Yamaguchi, Masaaki Ikehara

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    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.

    Original languageEnglish
    Title of host publicationProceedings - 9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages1178-1181
    Number of pages4
    Volume2018-February
    ISBN (Electronic)9781538615423
    DOIs
    Publication statusPublished - 2018 Feb 5
    Event9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017 - Kuala Lumpur, Malaysia
    Duration: 2017 Dec 122017 Dec 15

    Other

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

    ASJC Scopus subject areas

    • Artificial Intelligence
    • Human-Computer Interaction
    • Information Systems
    • Signal Processing

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  • Cite this

    Yamaguchi, T., & Ikehara, M. (2018). Joint bilateral based image denoising using multi-sized 2D hard threshold. In Proceedings - 9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017 (Vol. 2018-February, pp. 1178-1181). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/APSIPA.2017.8282207