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Authors: Tommaso Guseo and Emanuele Menegatti

Affiliation: Intelligent Autonomous Systems Laboratory (IAS-Lab), The University of Padua, Italy

ISBN: 978-972-8865-73-3

Keyword(s): Robot vision, demosaicing, QVGA resolution, Bayer pattern.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Image Filtering ; Image Formation and Preprocessing ; Image Formation, Acquisition Devices and Sensors ; Image Quality ; Spatial Color Indexing

Abstract: In this paper, we present a solution for the interpolation of low resolution digital images. Many digital cameras can function in two resolution modes: VGA (i.e., 640×480) and QVGA (i.e., 320×240). These cameras use a single sensor covered with a Color Filter Array (CFA). The CFA allows only one color component to be measured at each pixel, the remaining color components must be interpolated, this operation is called demosaicing. There is not a standard way to interpolate the QVGA Bayer pattern and most of the known demosaicing algorithms are not suitable. In this paper, we propose a new solution for the interpolation of QVGA Bayer pattern. Experimental results using digital images and an evaluation function confirm the effectiveness of the interpolation method. The use of the QVGA resolution is important in low-cost and low-power embedded hardware. As an application, we chose the RoboCup domain and in particular our Robovie-M humanoid robot competing in the RoboCup Kid-Size Humanoids League. (More)

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Paper citation in several formats:
Guseo T.; Menegatti E. and (2007). DEMOSAICING LOW RESOLUTION QVGA BAYER PATTERN.In Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, ISBN 978-972-8865-73-3, pages 141-146. DOI: 10.5220/0002063201410146

@conference{visapp07,
author={Tommaso Guseo and Emanuele Menegatti},
title={DEMOSAICING LOW RESOLUTION QVGA BAYER PATTERN},
booktitle={Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP,},
year={2007},
pages={141-146},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002063201410146},
isbn={978-972-8865-73-3},
}

TY - CONF

JO - Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP,
TI - DEMOSAICING LOW RESOLUTION QVGA BAYER PATTERN
SN - 978-972-8865-73-3
AU - Guseo, T.
AU - Menegatti, E.
PY - 2007
SP - 141
EP - 146
DO - 10.5220/0002063201410146

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