An Experimental Evaluation of Debayering Algorithms on GPUs for Recording Panoramic Video in Real-Time

Ragnar Langseth, Vamsidhar Reddy Gaddam, Håkon Kvale Stensland, Carsten Griwodz, Pål Halvorsen and Dag Johansen
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Ragnar Langseth: ForzaSys AS, Oslo, Norway
Vamsidhar Reddy Gaddam: University of Oslo and Simula Research Laboratory, Oslo, Norway
Håkon Kvale Stensland: University of Oslo and Simula Research Laboratory, Oslo, Norway
Carsten Griwodz: Simula Research Laboratory, Oslo, Norway
Pål Halvorsen: University of Oslo and Simula Research Laboratory, Oslo, Norway
Dag Johansen: Univeristy of Tromsø - The Arctic University of Norway, Tromsø, Norway

International Journal of Multimedia Data Engineering and Management (IJMDEM), 2015, vol. 6, issue 3, 1-16

Abstract: Modern video cameras often only capture a single color per pixel in a single pass operation. This process is called ltering, where pixels are ltered through a color lter array, and the Bayer lter is perhaps the most common lter used today. This means that the missing color channels must be restored in the image or the video frame in a post-processing step, i.e., a process referred to as debayering. In a live video scenario, this operation must be performed eciently in order to output each video frame in real-time, while also yielding acceptable visual quality. Here, the authors evaluate debayering algorithms implemented on a GPU for real-time panoramic video recordings using multiple 2K-resolution cameras.

Date: 2015
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