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http://dx.doi.org/10.5909/JBE.2008.13.1.174

Edge-adaptive demosaicking method for complementary color filter array of digital video cameras  

Han, Young-Seok (School of Electrical and Electronic Engineering, Yonsei University)
Kang, Hee (School of Electrical and Electronic Engineering, Yonsei University)
Kang, Moon-Gi (School of Electrical and Electronic Engineering, Yonsei University)
Publication Information
Journal of Broadcast Engineering / v.13, no.1, 2008 , pp. 174-184 More about this Journal
Abstract
Complementary color filter array (CCFA) is widely used in consumer-level digital video cameras, since it not only has high sensitivity and good signal-to-noise ratio in low-light condition but also is compatible with the interlaced scanning used in broadcast systems. However, the full-color images obtained from CCFA suffer from the color artifacts such as false color and zipper effects. These artifacts can be removed with edge-adaptive demosaicking (ECD) approaches which are generally used in rrimary color filter array (PCFA). Unfortunately, the unique array pattern of CCFA makes it difficult that CCFA adopts ECD approaches. Therefore, to apply ECD approaches suitable for CCFA to demosaicking is one of the major issues to reconstruct the full-color images. In this paper, we propose a new ECD algorithm for CCFA. To estimate an edge direction precisely and enhance the quality of the reconstructed image, a function of spatial variances is used as a weight, and new color conversion matrices are presented for considering various edge directions. Experimental results indicate that the proposed algorithm outperforms the conventional method with respect to both objective and subjective criteria.
Keywords
Demosaicking; digital video camera; complementary color filter array; edge direction;
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