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SPAA-Aware 2D Gaussian Smoothing Filter Design Using Efficient Approximation Techniques
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DOI：10.1109/VLSID.2015.62.png)
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Abstract
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The limited battery lifetime and rapidly increasing functionality of portable multimedia devices demand energy-efficient designs. The filters employed mainly in these devices are based on Gaussian smoothing, which is slow and, severely affects the performance. In this paper, we propose a novel energy-efficient approximate 2D Gaussian smoothing filter (2D-GSF) architecture by exploiting nearest pixel approximation and rounding-off Gaussian kernel coefficients. The proposed architecture significantly improves Speed-Power-Area-Accuracy (SPAA) metrics in designing energy-efficient filters. The efficacy of the proposed approximate 2D-GSF is demonstrated on real application such as edge detection. The simulation results show 72%, 79% and 76% reduction in area, power and delay, respectively with acceptable 0.4dB loss in PSNR as compared to the well-known approximate 2D-GSF.
Keywords:
Approximate design
Gaussian Smoothing Filter
Error Tolerant Applications
Energy-efficiency
Edge-detection
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