Detecting and eliminating chromatic aberration in digital images

Authors:
Soon-Wook Chung;Byoung-Kwang Kim;Woo-Jin Song
Affiliations:
Division of Electronic and Electrical Engineering, Pohang University of Science and Technology, Republic of Korea;Division of Electronic and Electrical Engineering, Pohang University of Science and Technology, Republic of Korea;Division of Electronic and Electrical Engineering, Pohang University of Science and Technology, Republic of Korea
Venue:
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Year:
2009

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Abstract

Chromatic aberration is a form of distortion in color optical devices that produces undesirable color fringes along borders within images. In this paper, we propose a novel method for detecting and eliminating chromatic aberration using image processing. We first analyze the color difference behavior around edges that do not show chromatic aberration and propose a range limitation property for edges. After searching for the pixels that violate the above property, the corrected pixel values are generated to eliminate the color fringes. The proposed algorithm corrects both lateral and longitudinal aberration on a single distorted image, and experimental results demonstrate the performance of the proposed method is effective.