Hardware accelerator of convolution with exponential function for image processing applications

Ivan Panchenko; Victor Bucha

doi:10.1117/12.2228008

9 December 2015 Hardware accelerator of convolution with exponential function for image processing applications

Ivan Panchenko, Victor Bucha

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.

Citation Download Citation

Ivan Panchenko and 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); https://doi.org/10.1117/12.2228008

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