• DocumentCode
    41619
  • Title

    Camera Processing With Chromatic Aberration

  • Author

    Korneliussen, Jan Tore ; Hirakawa, Keisuke

  • Author_Institution
    Cisco Syst., Lysacker, Norway
  • Volume
    23
  • Issue
    10
  • fYear
    2014
  • fDate
    Oct. 2014
  • Firstpage
    4539
  • Lastpage
    4552
  • Abstract
    Since the refractive index of materials commonly used for lens depends on the wavelengths of light, practical camera optics fail to converge light to a single point on an image plane. Known as chromatic aberration, this phenomenon distorts image details by introducing magnification error, defocus blur, and color fringes. Though achromatic and apochromatic lens designs reduce chromatic aberration to a degree, they are complex and expensive and they do not offer a perfect correction. In this paper, we propose a new post-capture processing scheme designed to overcome these problems computationally. Specifically, the proposed solution is comprised of chromatic aberration-tolerant demosaicking algorithm and post-demosaicking chromatic aberration correction. Experiments with simulated and real sensor data verify that the chromatic aberration is effectively corrected.
  • Keywords
    aberrations; cameras; image segmentation; photographic lenses; refractive index; achromatic lens designs; apochromatic lens designs; camera optics; camera processing; chromatic aberration; chromatic aberration-tolerant demosaicking algorithm; color fringes; defocus blur; image plane; magnification error; post-capture processing scheme; post-demosaicking chromatic aberration correction; refractive index; Cameras; Color; Image color analysis; Lenses; Wavelet domain; Wavelet packets; Zinc; Chromatic aberration; demosaicking; sensors;
  • fLanguage
    English
  • Journal_Title
    Image Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7149
  • Type

    jour

  • DOI
    10.1109/TIP.2014.2350911
  • Filename
    6882180