Authors:
Tommaso Guseo
and
Emanuele Menegatti
Affiliation:
Intelligent Autonomous Systems Laboratory (IAS-Lab), The University of Padua, Italy
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 Humanoid
s League.
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