Image restoration based on weighted average of multiple blurred and noisy images

Ryo Tanikawa, Takanori Fujisawa, Masaaki Ikehara

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

    Abstract

    In this paper, we propose a new method for image restoration from a pair of images with different noise and blur artifacts. These images are obtained from the camera with different exposure time and the restored images have higher quality. Some restoration methods using multiple degraded images have been proposed. Most of these methods solve the optimization problem achieving the noise removal and the blur suppression at the same time. However, this approach cannot handle the degree of noise removal and blur suppression easily. This paper proposes a new method for image restoration from a pair of images with different noise and blur artifacts. We take a wighted average of the two images to produce one image for the restoration process. By merging the noisy image, the noise and blur artifact can be efficiently suppressed while keeping useful image information. Then we propose a simple restoration method and obtain a higher quality restored image. Experiment results show that the proposed method can obtain a higher quality restored images which are removed noise and preserved edges.

    Original languageEnglish
    Title of host publication2018 International Workshop on Advanced Image Technology, IWAIT 2018
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages1-4
    Number of pages4
    ISBN (Electronic)9781538626153
    DOIs
    Publication statusPublished - 2018 May 30
    Event2018 International Workshop on Advanced Image Technology, IWAIT 2018 - Chiang Mai, Thailand
    Duration: 2018 Jan 72018 Jan 9

    Other

    Other2018 International Workshop on Advanced Image Technology, IWAIT 2018
    CountryThailand
    CityChiang Mai
    Period18/1/718/1/9

    Keywords

    • deblurring
    • denoising
    • image restoration

    ASJC Scopus subject areas

    • Computer Networks and Communications
    • Computer Vision and Pattern Recognition
    • Media Technology

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  • Cite this

    Tanikawa, R., Fujisawa, T., & Ikehara, M. (2018). Image restoration based on weighted average of multiple blurred and noisy images. In 2018 International Workshop on Advanced Image Technology, IWAIT 2018 (pp. 1-4). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IWAIT.2018.8369665