Practical Implementation of Second Generation Wavelet Transformation on 2D Images by Transformation Matrixes

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dc.contributor.authorJ.Piros, Sándor
dc.contributor.authorKorondi, Péter
dc.date.accessioned2015-03-18T07:37:01Z
dc.date.available2015-03-18T07:37:01Z
dc.date.issued2015-03-18
dc.description.abstractTo perform second generation wavelet transformation in digital signal processing is a common operation. Most obvious way to carry out this task is by program cycle management. Computational software usually executes direct matrix algebraic operations much faster, compared to cycles. Avoiding organizing cycles, can increase the processing speed by magnitudes. This paper introduces transformation matrixes to execute the key steps of wavelet transformation: filtering and downsampling. By the employment of the described transformational matrixes, wavelet transformation and filtering of two dimensional images or discrete datasets could be easier and faster.hu_HU
dc.identifier.doi10.17667/riim.2015.1-2/16.hu_HU
dc.identifier.issn2064-9622hu_HU
dc.identifier.issueNo. 1-2.hu_HU
dc.identifier.urihttp://hdl.handle.net/2437/208333
dc.identifier.volumeVol. 2. (2015).hu_HU
dc.language.isoenhu_HU
dc.publisherDebreceni Egyetemi Kiadó – Debrecen University Presshu_HU
dc.publisher.placeDebrecenhu_HU
dc.rightsNevezd meg! - Ne add el! - Ne változtasd! 2.5 Magyarország*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/2.5/hu/*
dc.subjectSignal processing algorithmhu_HU
dc.subjectDigital signal processinghu_HU
dc.subjectWavelet transformationhu_HU
dc.subjectDiscrete wavelet transformhu_HU
dc.subjectMatrix operationshu_HU
dc.titlePractical Implementation of Second Generation Wavelet Transformation on 2D Images by Transformation Matrixeshu_HU
dc.typeArticlehu_HU
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