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Proceedings Paper

Demosaicing: heterogeneity-projection hard-decision adaptive interpolation using spectral-spatial correlation
Author(s): Chi-Yi Tsai; Kai-Tai Song
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Paper Abstract

A novel heterogeneity-projection hard-decision adaptive interpolation (HPHD-AI) algorithm is proposed in this paper for color reproduction from Bayer mosaic images. The proposed algorithm aims to estimate the optimal interpolation direction and perform hard-decision interpolation, in which the decision is made before interpolation. To do so, a new heterogeneity-projection scheme based on spectral-spatial correlation is proposed to decide the best interpolation direction from the original mosaic image directly. Exploiting the proposed heterogeneity-projection scheme, a hard-decision rule can be designed easily to perform the interpolation. We have compared this technique with three recently proposed demosaicing techniques: Lu's, Gunturk's and Li's methods, by utilizing twenty-five natural images from Kodak PhotoCD. The experimental results show that HPHD-AI outperforms all of them in both PSNR values and S-CIELab ▵Ε*ab measures.

Paper Details

Date Published: 10 February 2006
PDF: 10 pages
Proc. SPIE 6069, Digital Photography II, 606906 (10 February 2006); doi: 10.1117/12.639890
Show Author Affiliations
Chi-Yi Tsai, National Chiao Tung Univ. (Taiwan)
Kai-Tai Song, National Chiao Tung Univ. (Taiwan)

Published in SPIE Proceedings Vol. 6069:
Digital Photography II
Nitin Sampat; Jeffrey M. DiCarlo; Russel A. Martin, Editor(s)

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