• DocumentCode
    3016995
  • Title

    Automatic Removal of Chromatic Aberration from a Single Image

  • Author

    Kang, Sing Bing

  • Author_Institution
    Microsoft Res., Redmond
  • fYear
    2007
  • fDate
    17-22 June 2007
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Many high resolution images exhibit chromatic aberration (CA), where the color channels appear shifted. Unfortunately, merely compensating for these shifts is sometimes inadequate, because the intensities are modified by other effects such as spatially-varying defocus and (surprisingly) in-camera sharpening. In this paper, we start from the basic principles of image formation to characterize CA, and show how its effects can be substantially reduced. We also show results of CA correction on a number of high-resolution images taken with different cameras.
  • Keywords
    image colour analysis; image reconstruction; camera sharpening; chromatic aberration automatic removal; high resolution images; image color channels; single image; spatially-varying defocus; Adaptive optics; Application software; Cameras; Focusing; Image resolution; Lenses; Optical distortion; Optical interferometry; Optical sensors; Spatial resolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 2007. CVPR '07. IEEE Conference on
  • Conference_Location
    Minneapolis, MN
  • ISSN
    1063-6919
  • Print_ISBN
    1-4244-1179-3
  • Electronic_ISBN
    1063-6919
  • Type

    conf

  • DOI
    10.1109/CVPR.2007.383214
  • Filename
    4270239