Paper
28 January 2008 A regularization approach to demosaicking
Daniele Menon, Giancarlo Calvagno
Author Affiliations +
Proceedings Volume 6822, Visual Communications and Image Processing 2008; 68221L (2008) https://doi.org/10.1117/12.765446
Event: Electronic Imaging, 2008, San Jose, California, United States
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.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Daniele Menon and Giancarlo Calvagno "A regularization approach to demosaicking", Proc. SPIE 6822, Visual Communications and Image Processing 2008, 68221L (28 January 2008); https://doi.org/10.1117/12.765446
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Optical filters

Image processing

Reconstruction algorithms

Linear filtering

Neptunium

Sensors

Statistical analysis

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