Paper Info
Title
SPAA-Aware 2D Gaussian Smoothing Filter Design Using Efficient Approximation Techniques
Abstract
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.
Year
DOI
Venue
2015
10.1109/VLSID.2015.62
VLSI Design
Keywords
Field
DocType
gaussian processes,approximation theory,edge detection,smoothing methods,spaa metric,spaa-aware 2d gaussian smoothing filter design,approximation technique,energy-efficient approximate 2d gsf architecture,energy-efficient approximate 2d gaussian smoothing filter architecture,energy-efficient designs,limited battery lifetime,nearest pixel approximation,portable multimedia devices,rounding-off gaussian kernel coefficient,speed-power-area-accuracy,approximate design,edge-detection,energy-efficiency,error tolerant applications,gaussian smoothing filter,energy efficiency
Gaussian filter,Mathematical optimization,Computer science,Efficient energy use,Edge detection,Algorithm,Gaussian blur,Electronic engineering,Pixel,Battery (electricity),Gaussian function,Filter design
Conference
ISSN
Citations 
PageRank 
1063-9667
4
0.45
References 
Authors
14
4
Name
Order
Citations
PageRank
Ankur Jaiswal140.79
Bharat Garg2329.88
Vikas Kaushal340.45
Sharma, G.K.471.87