Cutting of Content Redundancy of Images on the Basis of Classification of Objects and Background

Vladimir G. Ivanov; Mikhail G. Lyubarskiy; Juriy V. Lomonosov

doi:10.1615/JAutomatInfScien.v39.i5.30

Journal of Automation and Information Sciences

Editor en Jefe: Arkadiy A. Chikriy (open in a new tab)

Editor Asociados: Vyacheslav F. Gubarev (open in a new tab) Yuriy P. Kondratenko (open in a new tab) Nonna V. Turovyerova (open in a new tab)

Publicado 12 números por año

ISSN Imprimir: 1064-2315

ISSN En Línea: 2163-9337

Indexed in

Cutting of Content Redundancy of Images on the Basis of Classification of Objects and Background

Volumen 39, Edición 5, 2007, pp. 27-36

DOI: 10.1615/JAutomatInfScien.v39.i5.30

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Vladimir G. Ivanov
National Yaroslav Mudry Academy of Law of Ukraine, Kharkov, Ukraine

Mikhail G. Lyubarskiy
Yaroslav Mudryi National Academy of Law of Ukraine, Kharkov, Ukraine

Juriy V. Lomonosov
National Yaroslav Mudry Academy of Law of Ukraine, Kharkov, Ukraine

SINOPSIS

Computer simulation practical results of compressing some classes of images are presented. Before encoding the image is separated into two parts: objects and background. The image separation is carried out in a plain of wavelet-coefficients. The encoding of each component of image is performed separately with different degree of accuracy based on JPEG-technologies by a generalized Fourier transform (discrete cosine transform − DCT) and also applying multi-scale processing of wavelet-coefficients.

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