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Proceedings Paper

A regularization approach to demosaicking
Author(s): Daniele Menon; Giancarlo Calvagno
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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
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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