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Proceedings Paper

Minimized-Laplacian residual interpolation for color image demosaicking
Author(s): Daisuke Kiku; Yusuke Monno; Masayuki Tanaka; Masatoshi Okutomi
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Paper Abstract

A color difference interpolation technique is widely used for color image demosaicking. In this paper, we propose a minimized-laplacian residual interpolation (MLRI) as an alternative to the color difference interpolation, where the residuals are differences between observed and tentatively estimated pixel values. In the MLRI, we estimate the tentative pixel values by minimizing the Laplacian energies of the residuals. This residual image transfor- mation allows us to interpolate more easily than the standard color difference transformation. We incorporate the proposed MLRI into the gradient based threshold free (GBTF) algorithm, which is one of current state-of- the-art demosaicking algorithms. Experimental results demonstrate that our proposed demosaicking algorithm can outperform the state-of-the-art algorithms for the 30 images of the IMAX and the Kodak datasets.

Paper Details

Date Published: 7 March 2014
PDF: 8 pages
Proc. SPIE 9023, Digital Photography X, 90230L (7 March 2014); doi: 10.1117/12.2038425
Show Author Affiliations
Daisuke Kiku, Tokyo Institute of Technology (Japan)
Yusuke Monno, Tokyo Institute of Technology (Japan)
Masayuki Tanaka, Tokyo Institute of Technology (Japan)
Masatoshi Okutomi, Tokyo Institute of Technology (Japan)

Published in SPIE Proceedings Vol. 9023:
Digital Photography X
Nitin Sampat; Radka Tezaur; Sebastiano Battiato; Boyd A. Fowler, Editor(s)

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