Proceedings Paper
Hardware accelerator of convolution with exponential function for image processing applications| Format | Member Price | Non-Member Price |
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Paper Abstract
In this paper we describe a Hardware Accelerator (HWA) for fast recursive approximation of separable convolution with exponential function. This filter can be used in many Image Processing (IP) applications, e.g. depth-dependent image blur, image enhancement and disparity estimation. We have adopted this filter RTL implementation to provide maximum throughput in constrains of required memory bandwidth and hardware resources to provide a power-efficient VLSI implementation.
Paper Details
Date Published: 9 December 2015
PDF: 7 pages
Proc. SPIE 9817, Seventh International Conference on Graphic and Image Processing (ICGIP 2015), 98170A (9 December 2015); doi: 10.1117/12.2228008
Published in SPIE Proceedings Vol. 9817:
Seventh International Conference on Graphic and Image Processing (ICGIP 2015)
Yulin Wang; Xudong Jiang, Editor(s)
PDF: 7 pages
Proc. SPIE 9817, Seventh International Conference on Graphic and Image Processing (ICGIP 2015), 98170A (9 December 2015); doi: 10.1117/12.2228008
Show Author Affiliations
Ivan Panchenko, Samsung R&D Institute Russia (Russian Federation)
Victor Bucha, Samsung R&D Institute Russia (Russian Federation)
Published in SPIE Proceedings Vol. 9817:
Seventh International Conference on Graphic and Image Processing (ICGIP 2015)
Yulin Wang; Xudong Jiang, Editor(s)
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