9 December 2015 Hardware accelerator of convolution with exponential function for image processing applications
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Proceedings Volume 9817, Seventh International Conference on Graphic and Image Processing (ICGIP 2015); 98170A (2015) https://doi.org/10.1117/12.2228008
Event: Seventh International Conference on Graphic and Image Processing, 2015, Singapore, Singapore
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.
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Ivan Panchenko, Ivan Panchenko, Victor Bucha, Victor Bucha, } "Hardware accelerator of convolution with exponential function for image processing applications", Proc. SPIE 9817, Seventh International Conference on Graphic and Image Processing (ICGIP 2015), 98170A (9 December 2015); doi: 10.1117/12.2228008; https://doi.org/10.1117/12.2228008
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