Fast and high performance image subsampling using feedforward neural networks

TitleFast and high performance image subsampling using feedforward neural networks
Publication TypeJournal Article
Year of Publication2000
AuthorsDumitras, A., and F. Kossentini
JournalImage Processing, IEEE Transactions on
Volume9
Pagination720 -728
Date Publishedapr.
ISSN1057-7149
Keywordsexperimental results, fast image subsampling, feature extraction, feedforward neural nets, feedforward neural networks, high performance image subsampling, image reproduction quality, image sampling, learning (artificial intelligence), local edge information extraction, lowpass filtering, objective evaluation, pattern matching, still images, subjective evaluation, supervised training, video frames
Abstract

We introduce a fast and high performance image subsampling method using feedforward artificial neural networks (FANNs). Our method employs a pattern matching technique to extract local edge information within the image, in order to select the FANN desired output values during the supervised training stage. Subjective and objective evaluations of experimental results using still images and video frames show that our method, while less computationally intensive, outperforms the standard lowpass filtering and subsampling method

URLhttp://dx.doi.org/10.1109/83.841947
DOI10.1109/83.841947

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