| 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. |
| Related Papers |
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Single-Image Vignetting Correction Using Radial Gradient Symmetry Yuanjie Zheng, Jingyi Yu, Sing-bing Kang, Steve Lin, and Chandra Kambhamettu In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2008) |
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Single-Image Vignetting Correction Yuanjie Zheng, Stephen Lin, Chandra Kambhamettu, Jingyi Yu, Sing Bing Kang In Proceedings of IEEE Trans. on Pattern Analysis and Machine Intelligence(PAMI), 2009 |
