Image noise level estimation by searching for smooth patches with discrete cosine transform

Hayato Katase, Takuro Yamaguchi, Takanori Fujisawa, Masaaki Ikehara

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

    1 Citation (Scopus)

    Abstract

    When denoising an image, noise level is one of the most vital input parameters, because setting wrong noise level affects a result of denoising. Therefore, the noise level must be estimated accurately. In this paper, we propose a new accurate noise level estimation method based on the characteristic of discrete cosine transform (DCT) coefficients. This characteristic is that the high-frequency coefficients of the smooth patches can be assumed to zero. We select smooth patches from a distribution of the standard deviation of high-frequency coefficients in a noisy image, and a distribution function of the standard deviation of high-frequency coefficients in an only noise image. Moreover, we propose a method that the estimated noise level is calculated from high-frequency coefficients in a noisy image. The experiment results with many images demonstrate that the proposed method estimates the noise levels more accurately, in comparison with the conventional methods.

    Original languageEnglish
    Title of host publication2016 IEEE 59th International Midwest Symposium on Circuits and Systems, MWSCAS 2016
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9781509009169
    DOIs
    Publication statusPublished - 2016 Jul 2
    Event59th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2016 - Abu Dhabi, United Arab Emirates
    Duration: 2016 Oct 162016 Oct 19

    Publication series

    NameMidwest Symposium on Circuits and Systems
    Volume0
    ISSN (Print)1548-3746

    Other

    Other59th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2016
    CountryUnited Arab Emirates
    CityAbu Dhabi
    Period16/10/1616/10/19

    ASJC Scopus subject areas

    • Electronic, Optical and Magnetic Materials
    • Electrical and Electronic Engineering

    Fingerprint Dive into the research topics of 'Image noise level estimation by searching for smooth patches with discrete cosine transform'. Together they form a unique fingerprint.

  • Cite this

    Katase, H., Yamaguchi, T., Fujisawa, T., & Ikehara, M. (2016). Image noise level estimation by searching for smooth patches with discrete cosine transform. In 2016 IEEE 59th International Midwest Symposium on Circuits and Systems, MWSCAS 2016 [7870110] (Midwest Symposium on Circuits and Systems; Vol. 0). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MWSCAS.2016.7870110