• DocumentCode
    2121022
  • Title

    Non-dyadic lens distortion correction and enhancement of fish-eye lens images

  • Author

    Jinho Park ; Donggyun Kim ; Daehee Kim ; Joonki Paik

  • Author_Institution
    Grad. Sch. of Adv. Imaging Sci., Chung-Ang Univ., Seoul, South Korea
  • fYear
    2015
  • fDate
    9-12 Jan. 2015
  • Firstpage
    275
  • Lastpage
    276
  • Abstract
    In this paper, a novel image enhancement method is presented for a fish-eye lens camera. In order to remove jagging and blur artifacts that are generated by a correction process of geometric lens distortion, the proposed method searches similar patches in a non-dyadic scale space. For further enhancing the artifact-removed image, a self-example-based image restoration is also used. Experimental results show that the proposed method can successfully remove not only geometric distortion of a fish-eye lens but also jagging and blur artifacts in the corrected image.
  • Keywords
    image enhancement; image restoration; image sensors; blur artifacts; correction process; fish eye lens camera; fish eye lens image enhancement; geometric lens distortion; image enhancement method; image restoration; jagging artifacts; non dyadic lens distortion correction; Conferences; Consumer electronics; Image enhancement; Image restoration; Imaging; Lenses; Mathematical model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics (ICCE), 2015 IEEE International Conference on
  • Conference_Location
    Las Vegas, NV
  • Print_ISBN
    978-1-4799-7542-6
  • Type

    conf

  • DOI
    10.1109/ICCE.2015.7066411
  • Filename
    7066411