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First-order and multi-stage first-order image subsampling using a FANN-based pattern matching method

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First-order and multi-stage first-order image subsampling using a FANN-based pattern matching method

Content Provider	IEEE Xplore Digital Library
Author	Dumitras, A.
Copyright Year	2000
Description	Author affiliation: Dept. of Electr. & Comput. Eng., British Columbia Univ., Vancouver, BC, Canada (Dumitras, A.)
Abstract	We propose a method for image subsampling using feedforward artificial neural networks (FANN). Our method employs pattern matching in order to extract information about the presence of local edges. This information is then used to select the FANN desired output values during training. We show that, when applied to first-order and high-order image subsampling, our method effectively subsamples both high detail and smooth image areas, consistently outperforming traditional lowpass filtering and subsampling (LPFS) methods.
Starting Page	446
Ending Page	451
File Size	787507
Page Count	6
File Format	PDF
ISBN	0769506194
ISSN	10987576
DOI	10.1109/IJCNN.2000.861510
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2000-07-27
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Pattern matching Artificial neural networks Data mining Image reconstruction Computer networks Information filtering Information filters Frequency Councils Contacts
Content Type	Text
Resource Type	Article

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