Adaptive guided upsampling for color image demosaicking

Yosuke Ueki, Takuro Yamaguchi, Masaaki Ikehara

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


    Color demosaicking is a significant step that enables digital cameras to recover full pixels from a raw image. In this paper, we propose an efficient color image demosaicking model based on guided upsampling. Guided upsampling using residual interpolation has been prominent in comparison to other methods. In the present study, we developed an adaptive guided upsampling method without RI. Our approach consists of adaptive guided upsampling and color-component difference interpolation. We utilize color difference interpolation and guided upsampling for its preprocessing in the G channel interpolation and interpolate the R and B channel with guided upsampling using recovered G channel. The results of the experiments prove that our approach is superior to RI-based methods on both objective and subjective performance for the Kodak and the IMAX datasets.

    Original languageEnglish
    Title of host publication2018 26th European Signal Processing Conference, EUSIPCO 2018
    PublisherEuropean Signal Processing Conference, EUSIPCO
    Number of pages5
    ISBN (Electronic)9789082797015
    Publication statusPublished - 2018 Nov 29
    Event26th European Signal Processing Conference, EUSIPCO 2018 - Rome, Italy
    Duration: 2018 Sep 32018 Sep 7


    Other26th European Signal Processing Conference, EUSIPCO 2018


    • Bayer color filter array
    • Demosaicking
    • Guided filter
    • Image processing

    ASJC Scopus subject areas

    • Signal Processing
    • Electrical and Electronic Engineering


    Dive into the research topics of 'Adaptive guided upsampling for color image demosaicking'. Together they form a unique fingerprint.

    Cite this