Wavelet based performance analysis of image compression in different methods

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dc.contributor.authorShaem, A.S.M
dc.date.accessioned2013-01-13T06:47:32Z
dc.date.accessioned2019-05-27T09:49:45Z
dc.date.available2013-01-13T06:47:32Z
dc.date.available2019-05-27T09:49:45Z
dc.date.issued2012-08
dc.description.abstractIn this thesis, my aim is to compare for the different wavelet-based image compression techniques. The effects of different wavelet functions filter orders, number of decompositions, image contents and compression ratios were examined. The results of the above techniques WDR, ASWDR, STW, SPIHT, EZW etc., were compared by using the parameters such as PSNR, MSE BPP values from the reconstructed image. These techniques are successfully tested by four different images.
dc.identifier.otherhttp://dspace.daffodilvarsity.edu.bd:8080/handle/20.500.11948/816
dc.identifier.urihttp://hdl.handle.net/20.500.11948/816
dc.language.isoen
dc.publisherDaffodil International University
dc.sourceDIU Institutional Repository
dc.subjectWavelet based performance analysis
dc.titleWavelet based performance analysis of image compression in different methods

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