Comparing artificial neural networks ( ANN ) image compression technique with different image compression techniques

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dc.contributor.authorBekir KARLIK
dc.contributor.authorSerkan AYDIN
dc.contributor.authorİlker KILIÇ
dc.date.accessioned2024-07-24T09:10:36Z
dc.date.available2024-07-24T09:10:36Z
dc.date.issued1996
dc.description.abstractIn this paper it is presented that, 256x256 16 gray level images can be compressed fast and efficiently by using neural networks . Compression results were compared with the other methods according to mean square error (MSE) and visual of the image and it is seen that by further works on ANN the images can be compressed better.
dc.identifier.issn1300-686X
dc.identifier.urihttp://akademikarsiv.cbu.edu.tr:4000/handle/123456789/23017
dc.language.isoeng
dc.subject[Fen > Temel Bilimler > Matematik]
dc.titleComparing artificial neural networks ( ANN ) image compression technique with different image compression techniques
dc.typeAraştırma Makalesi

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