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Journal of Electronic Imaging

Joint demosaicking and zooming using moderate spectral correlation and consistent edge map
Author(s): Dengwen Zhou; Weiming Dong; Wengang Chen
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Paper Abstract

The recently published joint demosaicking and zooming algorithms for single-sensor digital cameras all overfit the popular Kodak test images, which have been found to have higher spectral correlation than typical color images. Their performance perhaps significantly degrades on other datasets, such as the McMaster test images, which have weak spectral correlation. A new joint demosaicking and zooming algorithm is proposed for the Bayer color filter array (CFA) pattern, in which the edge direction information (edge map) extracted from the raw CFA data is consistently used in demosaicking and zooming. It also moderately utilizes the spectral correlation between color planes. The experimental results confirm that the proposed algorithm produces an excellent performance on both the Kodak and McMaster datasets in terms of both subjective and objective measures. Our algorithm also has high computational efficiency. It provides a better tradeoff among adaptability, performance, and computational cost compared to the existing algorithms.

Paper Details

Date Published: 21 July 2014
PDF: 12 pages
J. Electron. Imag. 23(4) 043010 doi: 10.1117/1.JEI.23.4.043010
Published in: Journal of Electronic Imaging Volume 23, Issue 4
Show Author Affiliations
Dengwen Zhou, North China Electric Power Univ. (China)
Weiming Dong, Institute of Automation (China)
Wengang Chen, North China Electric Power Univ. (China)

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