• DocumentCode
    2396332
  • Title

    Single-image vignetting correction using radial gradient symmetry

  • Author

    Zheng, Yuanjie ; Yu, Jingyi ; Kang, Sing Bing ; Lin, Stephen ; Kambhamettu, Chandra

  • Author_Institution
    Univ. of Delaware, Newark, DE
  • fYear
    2008
  • fDate
    23-28 June 2008
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    In this paper, we present a novel single-image vignetting method based on the symmetric distribution of the radial gradient (RG). The radial gradient is the image gradient along the radial direction with respect to the image center. We show that the RG distribution for natural images without vignetting is generally symmetric. However, this distribution is skewed by vignetting. We develop two variants of this technique, both of which remove vignetting by minimizing asymmetry of the RG distribution. Compared with prior approaches to single-image vignetting correction, our method does not require segmentation and the results are generally better. Experiments show our technique works for a wide range of images and it achieves a speed-up of 4-5 times compared with a state-of-the-art method.
  • Keywords
    image processing; image center; image gradient; radial direction; radial gradient symmetry; single-image vignetting correction; symmetric distribution; Application software; Cameras; Image denoising; Image segmentation; Image sequences; Layout; Noise shaping; Roentgenium; Shape; Statistical distributions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on
  • Conference_Location
    Anchorage, AK
  • ISSN
    1063-6919
  • Print_ISBN
    978-1-4244-2242-5
  • Electronic_ISBN
    1063-6919
  • Type

    conf

  • DOI
    10.1109/CVPR.2008.4587413
  • Filename
    4587413