Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/26244
Title: Performance analysis of EZW Compression technique with wavelet And contourlet transforms for Medical images
Researcher: Tamilarasi M
Guide(s): Palanisamy V
Keywords: Embedded Zerotree Wavelet
Region of Interest
Upload Date: 30-Sep-2014
University: Anna University
Completed Date: 01-12-2011
Abstract: Today the use of computers for handling image data in the medical newlinefield is growing The use of computers and a network makes it possible to newlinedistribute the image data among the world wide efficiently The CT and MRI newlinescan are the modern image generating techniques MRI and CT produce newlinesequences of images image stacks each a cross section of an object The newlineamount of data produced by these techniques is vast means it gives detailed newlineinformation about the object These images required very big storage space newlinedue to their big size This may be bottleneck of the system when we are newlinetransmitting the image over a channel which is having limited bandwidth newlineespecially in rural areas It is necessary to compress the medical image newline newline newline
Pagination: xvi, 113p.
URI: http://hdl.handle.net/10603/26244
Appears in Departments:Faculty of Information and Communication Engineering

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04_acknowledgement.pdf336.48 kBAdobe PDFView/Open
05_content.pdf32.38 kBAdobe PDFView/Open
06_chapter1.pdf35.81 kBAdobe PDFView/Open
07_chapter2.pdf93.96 kBAdobe PDFView/Open
08_chapter3.pdf184.84 kBAdobe PDFView/Open
09_chapter4.pdf391.48 kBAdobe PDFView/Open
10_chapter5.pdf248.75 kBAdobe PDFView/Open
11_chapter6.pdf701.88 kBAdobe PDFView/Open
12_chapter7.pdf9.29 kBAdobe PDFView/Open
13_reference.pdf25.03 kBAdobe PDFView/Open
14_publication.pdf7.42 kBAdobe PDFView/Open
15_vitae.pdf5.64 kBAdobe PDFView/Open


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