
Proceedings Paper
A regularization approach to demosaickingFormat | Member Price | Non-Member Price |
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Paper Abstract
Demosaicking is the process of reconstructing a full resolution color image from the sampled data acquired by
a digital camera that apply a color filter array to a single sensor. In this paper, we propose a regularization
approach to demosaicking, making use of some prior knowledge about natural color images, such as smoothness of
each single color component and correlation between the different color channels. Initially, a quadratic strategy is
considered and a general approach is reported. Then, an adaptive technique is analyzed, in order to improve the
reconstruction near the edges and the discontinuities of the image. This is performed using a novel strategy that
avoids computational demanding iterations. The proposed approach provides good performances and candidates
itself for many applications.
Paper Details
Date Published: 28 January 2008
PDF: 11 pages
Proc. SPIE 6822, Visual Communications and Image Processing 2008, 68221L (28 January 2008); doi: 10.1117/12.765446
Published in SPIE Proceedings Vol. 6822:
Visual Communications and Image Processing 2008
William A. Pearlman; John W. Woods; Ligang Lu, Editor(s)
PDF: 11 pages
Proc. SPIE 6822, Visual Communications and Image Processing 2008, 68221L (28 January 2008); doi: 10.1117/12.765446
Show Author Affiliations
Daniele Menon, Univ. of Padova (Italy)
Giancarlo Calvagno, Univ. of Padova (Italy)
Published in SPIE Proceedings Vol. 6822:
Visual Communications and Image Processing 2008
William A. Pearlman; John W. Woods; Ligang Lu, Editor(s)
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