CFA DEMOSAICKING BY ADAPTIVE ORDER OF APPROXIMATION

J. S. Jimmy Li, Sharmil Randhawa

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 shown that our algorithm outperforms other techniques for various images, and in particular for images with the above mentioned characteristics.

References

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  8. Li, J.S.J. and Randhawa, S. (2005b): Improved Accuracy for Colour Filter Array Demosaicking using High Order Extrapolation. Proceedings of ISSPA 2005, Sydney, 331-334.
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  13. VISAPP 2006 - IMAGE FORMATION AND PROCESSING Figure 11: Plataniotis Output.
  14. Figure 12: Lu&Tan output.
  15. Figure 13: Gunturk output.
  16. Figure 14: Our proposed method.
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Paper Citation


in Harvard Style

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, pages 5-10. DOI: 10.5220/0001366800050010


in Bibtex Style

@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},
}


in EndNote Style

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
AU - S. Jimmy Li J.
AU - Randhawa S.
PY - 2006
SP - 5
EP - 10
DO - 10.5220/0001366800050010