"Originally, the discrete wavelet transform was designed for an infinite input data. Applying discrete wavelet transform directly to images in lossy wavelet image compression leads to large errors and artifacts at the tile and the image boundaries of the reconstructed image. To reduce boundary errors and artifacts the image is usually first extended and the discrete wavelet transform is applied to the extended image. An alternative approach consists of using directly the discrete wavelet transform with special filters near the boundary. In our contribution, we show that the tiling artifacts are significantly reduced and that the error of the compression is smaller with the discrete wavelet transform with recently derived boundary filters than with other methods using an extension of an image." . "Reducing Boundary Error in Wavelet Image Compression" . "4"^^ . . "RIV/46747885:24510/10:#0000202" . "AIP Conference Proceedings, Vol. 1281" . . "Reducing Boundary Error in Wavelet Image Compression"@en . "Rhodes, Greece" . "1"^^ . "\u010Cern\u00E1, Dana" . . "978-0-7354-0834-0" . "2"^^ . "24510" . "P(GP201/09/P641), P(LC06024)" . . . . "biorthogonal wavelets; image compression; boundary error; tiling artifact"@en . . . . . "284291" . "[F908C66D4843]" . "2010-10-09+02:00"^^ . "RIV/46747885:24510/10:#0000202!RIV11-GA0-24510___" . "Fin\u011Bk, V\u00E1clav" . "American Institute of Physics" . . "Reducing Boundary Error in Wavelet Image Compression"@en . . "Reducing Boundary Error in Wavelet Image Compression" . . . . "Originally, the discrete wavelet transform was designed for an infinite input data. Applying discrete wavelet transform directly to images in lossy wavelet image compression leads to large errors and artifacts at the tile and the image boundaries of the reconstructed image. To reduce boundary errors and artifacts the image is usually first extended and the discrete wavelet transform is applied to the extended image. An alternative approach consists of using directly the discrete wavelet transform with special filters near the boundary. In our contribution, we show that the tiling artifacts are significantly reduced and that the error of the compression is smaller with the discrete wavelet transform with recently derived boundary filters than with other methods using an extension of an image."@en . "287218400467" . . . . "New York" .