Wavelet based performance analysis of image compression in different methods

dc.contributor.author	Shaem, A.S.M
dc.date.accessioned	2013-01-13T06:47:32Z
dc.date.accessioned	2019-05-27T09:49:45Z
dc.date.available	2013-01-13T06:47:32Z
dc.date.available	2019-05-27T09:49:45Z
dc.date.issued	2012-08
dc.identifier.uri	http://hdl.handle.net/20.500.11948/816
dc.description.abstract	In 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.	en_US
dc.language.iso	en	en_US
dc.publisher	Daffodil International University	en_US
dc.relation.ispartofseries	P03041;
dc.subject	Wavelet based performance analysis	en_US
dc.title	Wavelet based performance analysis of image compression in different methods	en_US