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Joint demosaicking and zooming using moderate spectral correlation and consistent edge map

[+] Author Affiliations
Dengwen Zhou

North China Electric Power University, School of Control and Computer Engineering, 2 Beinong Road, Changping District, Beijing 102206, China

Weiming Dong

LIAMA-NLPR, CAS Institute of Automation, Haidian District, Beijing 100190, China

Wengang Chen

North China Electric Power University, School of Control and Computer Engineering, 2 Beinong Road, Changping District, Beijing 102206, China

J. Electron. Imaging. 23(4), 043010 (Jul 21, 2014). doi:10.1117/1.JEI.23.4.043010
History: Received December 1, 2013; Revised June 6, 2014; Accepted June 20, 2014
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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.

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Citation

Dengwen Zhou ; Weiming Dong and Wengang Chen
"Joint demosaicking and zooming using moderate spectral correlation and consistent edge map", J. Electron. Imaging. 23(4), 043010 (Jul 21, 2014). ; http://dx.doi.org/10.1117/1.JEI.23.4.043010


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