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Authors: Patrik Goorts ; Sammy Rogmans and Philippe Bekaert

Affiliation: Hasselt University, Belgium

Keyword(s): Demosaicing, Bayer, Finite Impulse Response Filtering, GPU, CUDA.

Related Ontology Subjects/Areas/Topics: Design and Implementation of Signal Processing Systems ; Image and Video Processing, Compression and Segmentation ; Multimedia ; Multimedia Signal Processing ; Multimedia Systems and Applications ; Sensors and Multimedia ; Telecommunications

Abstract: In this paper, we investigate demosaicing of raw camera images on parallel architectures using CUDA. To generate high-quality results, we use the method of Malvar et al., which incorporates the gradient for edgesensing demosaicing. The method can be implemented as a collection of finite impulse response filters, which can easily be mapped to a parallel architecture. We investigated different trade-offs between memory operations and processor occupation to acquire maximum performance, and found a clear difference in optimization principles between different GPU architecture designs. We show that trade-offs are still important and not straightforward when using systems with massive fast processors and slower memory.

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Paper citation in several formats:
Goorts, P.; Rogmans, S. and Bekaert, P. (2012). Raw Camera Image Demosaicing using Finite Impulse Response Filtering on Commodity GPU Hardware using CUDA. In Proceedings of the International Conference on Signal Processing and Multimedia Applications and Wireless Information Networks and Systems - SIGMAP, (ICETE 2012) ISBN 978-989-8565-25-9, pages 96-101. DOI: 10.5220/0004075900960101

@conference{sigmap12,
author={Patrik Goorts. and Sammy Rogmans. and Philippe Bekaert.},
title={Raw Camera Image Demosaicing using Finite Impulse Response Filtering on Commodity GPU Hardware using CUDA},
booktitle={Proceedings of the International Conference on Signal Processing and Multimedia Applications and Wireless Information Networks and Systems - SIGMAP, (ICETE 2012)},
year={2012},
pages={96-101},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004075900960101},
isbn={978-989-8565-25-9},
}

TY - CONF

JO - Proceedings of the International Conference on Signal Processing and Multimedia Applications and Wireless Information Networks and Systems - SIGMAP, (ICETE 2012)
TI - Raw Camera Image Demosaicing using Finite Impulse Response Filtering on Commodity GPU Hardware using CUDA
SN - 978-989-8565-25-9
AU - Goorts, P.
AU - Rogmans, S.
AU - Bekaert, P.
PY - 2012
SP - 96
EP - 101
DO - 10.5220/0004075900960101

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