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http://dx.doi.org/10.5573/ieek.2013.50.9.119

Chromatic Aberration Correction Method by Considering Local Properties of the Image  

Kang, Hee (Electrical and Electronic Engineering, Yonsei University)
Kang, Moon Gi (Electrical and Electronic Engineering, Yonsei University)
Publication Information
Journal of the Institute of Electronics and Information Engineers / v.50, no.9, 2013 , pp. 119-126 More about this Journal
Abstract
In this paper, we propose a chromatic aberration removal algorithm in image capture devices, which considers local properties of the image. Chromatic aberration is generated by the fact that the refractive index of the lens is different for different wavelengths, which produces color artifacts on strong edge due to misalignment of RGB channels. Under the characteristics of the artifacts, the proposed algorithm first estimates the regions with the apparent color artifacts as the neighborhoods of the strong edge. In the regions, the proposed algorithm removes the color artifacts by matching the edges of RGB channels. The widely used conventional methods based on global image warping could not remove the color artifacts of longitudinal chromatic aberration and purple fringing identified by the image sensor, whereas the matching process of the proposed method could reduce them. Experimental results show that the proposed algorithm outperforms the conventional methods on objective and subjective criteria.
Keywords
Chromatic aberration; purple fringing; Poisson's equation;
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1 V. Kaufmann and R. Ladstadter, "Elimination of color fringes in digital photographs caused by lateral chromatic aberration", in Proc. of 20th Int. Comit'e International de Photogramm'etrie Architecturale (CIPA) Symp., October. 2005.
2 T. Gloe, A. Winkler, and K. Borowka, "Efficient estimation and large-scale evaluation of lateral chromatic aberration for digital image forensics, in Proc. of SPIE Conf. on Media Forensics and Security, January. 2010.
3 S. B. Kang, "Automatic removal of chromatic aberration from a single image", in Proc. of IEEE Conf. on Computer Vision and Pattern Recognition, pp. 1-8, June. 2007.
4 S. Kang, "Automatic removal of purple fringing from images," U.S. Patent No 2007/0153341, 2007.
5 B. Kim and R. Park, "Automatic detection and correction of purple fringing using the gradient information and desaturation", in Proc. of 16th European Signal Processing Conf., October. 2008.
6 D. Lee, B. Kim, and R. Park, "Purple fringing correction using colorization in Yxy color space", in Proc. of IEEE Intl. Conf. on Consumer Electronics, January. 2011.
7 C. Fox, An Introduction to the Calculus of Variations, Dover Publications, 2010.
8 J. Mallon and P. F. Whelan, "Calibration and removal of lateral chromatic aberration in images", Pattern Recogn. Lett., Vol. 28, No. 1, pp. 125-135, 2007.   DOI   ScienceOn
9 J. Nakamura, Image sensors and signal processing for digital still cameras, Taylor & Francis, 2006.
10 P. Mouroulis and J. Macdonald, Geometrical optics and optical design, Oxford University Press, 1997.