Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/14409
Title: Raw Camera Image Demosaicing using Finite Impulse Response Filtering on Commodity GPU Hardware using CUDA
Authors: GOORTS, Patrik 
ROGMANS, Sammy 
BEKAERT, Philippe 
Issue Date: 2012
Publisher: INSTICC
Source: Cabello, Enrique; Virvou, Maria; Obaidat, Mohammad S.; Caldeirinha, Rafael F.S.; Hong, Ji; Vergados, Dimitrios D. (Ed.). SIGMAP and WINSYS 2012 - Proceedings of the International Conference on Signal Processing and Multimedia Applications and International Conference on Wireless Information Networks and Systems, p. 96-101
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 eb 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.
Keywords: demosaicing; bayer; finite impulse response filtering; GPU; CUDA
Document URI: http://hdl.handle.net/1942/14409
ISBN: 978-989-8565-25-9
Category: C1
Type: Proceedings Paper
Appears in Collections:Research publications

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