Please use this identifier to cite or link to this item: http://archives.univ-biskra.dz/handle/123456789/3484
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dc.contributor.authorA. Ouafi-
dc.contributor.authorA. Taleb Ahmed-
dc.contributor.authorZ. Baarir-
dc.contributor.authorA. Zitouni-
dc.date.accessioned2014-06-08T10:08:03Z-
dc.date.available2014-06-08T10:08:03Z-
dc.date.issued2014-06-08-
dc.identifier.urihttp://archives.univ-biskra.dz/handle/123456789/3484-
dc.description.abstractIn this paper, we propose a modification of the Shapiro’s Embedded Zerotree Wavelet (EZW) algorithm. Our approach, called Modified EZW (MEZW), distributes entropy differently than Shapiro’s by using six instead of four symbols used in EZW and also optimizes the coding by a binary grouping of elements before coding. This approach can produce results that are a significant improvement on the PSNR and compression ratio obtained by Shapiro, without affecting the computing time. These results are also comparable with those obtained using the SPIHT and SPECK algorithms.en_US
dc.language.isoenen_US
dc.subjectImage compressionen_US
dc.subjectShapiro’s EZW algorithmen_US
dc.subjectMEZWen_US
dc.subjectEntropyen_US
dc.subjectCodingen_US
dc.subjectPSNRen_US
dc.subjectCompression ratioen_US
dc.subjectSPIHT and SPECK algorithmsen_US
dc.titleA Modified Embedded Zerotree Wavelet (MEZW) Algorithm for Image Compressionen_US
dc.typeArticleen_US
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