NDLI: A modified approximation of 2D Gaussian smoothing filters for fixed-point platforms

Content Provider	IEEE Xplore Digital Library
Author	Khorbotly, S. Hassan, F.
Copyright Year	2011
Description	Author affiliation: Dept. of Elec. & Comp. Eng. & Comp. Sc., Ohio Northern University, Ada, Ohio, USA (Hassan, F.) \|\| Dept. of Elec. & Comp. Eng. & Comp. Sc. Ohio, Northern Universityl Ada, Ohio, USA (Khorbotly, S.)
Abstract	Gaussian smoothing filters are commonly used in various image processing applications to reduce the noise level in an image. The filters are particularly popular in edge detection algorithms because of their ability to smooth false edges and improve the edge detection performance. When implemented on a fixed-point computational platform, the filter coefficients are rounded and the implemented filter becomes a rounded approximation of the original one. In those implementations, system designers must balance between signal integrity and the hardware size they can afford in a particular design. In this work, we suggest a new “modified” method to approximate the coefficients of a 2D Gaussian filter. When implemented on a Field Programmable Gate Array (FPGA), the modified approximation filter is shown to generally deliver higher signal quality than its traditional “rounded” counterpart without any increase in the required resources.
Starting Page	151
Ending Page	159
File Size	557452
Page Count	9
File Format	PDF
ISBN	9781424495948
ISSN	00942898
e-ISBN	9781424495931
DOI	10.1109/SSST.2011.5753797
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-03-14
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Kernel Smoothing methods Image edge detection Hardware Filtering algorithms Field programmable gate arrays Frequency domain analysis
Content Type	Text
Resource Type	Article

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