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Authors: J. S. Jimmy Li and Sharmil Randhawa

Affiliation: School of Informatics and Engineering, Flinders University, Australia

ISBN: 972-8865-40-6

ISSN: 2184-4321

Keyword(s): CFA demosaicking, adaptive order, approximation, colour smoothness.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Image Formation and Preprocessing ; Image Formation, Acquisition Devices and Sensors

Abstract: Colour filter array (CFA) demosaicking refers to determining the missing colour values at each pixel when a single-sensor digital camera is used for colour image capture. It has recently been shown that missing colour values can be interpolated or extrapolated using Taylor series. The accuracy of approximation depends on the number of high order derivative terms included in the Taylor series. For a smooth region of an image, the higher the order, the higher the accuracy in the approximation of the missing colour values. However, the estimation of high order derivative terms requires pixel values from a wider area of neighbourhood. When an image contains features closely spaced together, extrapolation using pixels from a smaller region of neighbourhood is preferred and a low order of approximation should be applied. In order to achieve more accurate results, we propose an algorithm using an adaptive order of approximation depending on the colour smoothness of the image. It has been sh own that our algorithm outperforms other techniques for various images, and in particular for images with the above mentioned characteristics. (More)

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Paper citation in several formats:
S. Jimmy Li, J. and Randhawa, S. (2006). CFA DEMOSAICKING BY ADAPTIVE ORDER OF APPROXIMATION. In Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, ISBN 972-8865-40-6; ISSN 2184-4321, pages 5-10. DOI: 10.5220/0001366800050010

@conference{visapp06,
author={J. {S. Jimmy Li}. and Sharmil Randhawa.},
title={CFA DEMOSAICKING BY ADAPTIVE ORDER OF APPROXIMATION},
booktitle={Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP,},
year={2006},
pages={5-10},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001366800050010},
isbn={972-8865-40-6},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP,
TI - CFA DEMOSAICKING BY ADAPTIVE ORDER OF APPROXIMATION
SN - 972-8865-40-6
IS - 2184-4321
AU - S. Jimmy Li, J.
AU - Randhawa, S.
PY - 2006
SP - 5
EP - 10
DO - 10.5220/0001366800050010

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