7 March 2014 Minimized-Laplacian residual interpolation for color image demosaicking
Author Affiliations +
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.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Daisuke Kiku, Yusuke Monno, Masayuki Tanaka, Masatoshi Okutomi, "Minimized-Laplacian residual interpolation for color image demosaicking", Proc. SPIE 9023, Digital Photography X, 90230L (7 March 2014); doi: 10.1117/12.2038425; https://doi.org/10.1117/12.2038425
PROCEEDINGS
8 PAGES


SHARE
Back to Top