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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File | Description | Size | Format | |
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SIGMAP_2012_61_CR.pdf | Published version | 1.04 MB | Adobe PDF | View/Open |
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