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dc.title : Image processing with JPEG 2000 applied to multidimensionel (medical) images
dc.creator : GOCERI, Evgin
dc.subject :
dc.description.abstract : Everyday, an enormous amount of information is stored, processed and transmitted digitally. Much of this information is procured in the shape of digital images and therefore, in addition to several image processing problems, the storage and communications requirements are becoming immense. Image compression addresses the problem of reducing the amount of data required to represent a digital image. With the increasing use of multimedia technologies, image compression requires high performance as well as new features. To meet these needs in the specific area of still image encoding, a new standard has been developed known as JPEG2000. In this thesis we implemented an application which implies important image processing techniques such as edge detection and digital filtering in order to improve the imperfections presence of noise and inadequate contrasts and contours. One of the main features of the application is to support the JPEG2000 standard, in addition to other image types, and the implementation does not only apply to natural, scientific and remote sensing images, but also to multi-dimensional medical images. Another feature of the application is the implementation of Lifting Scheme and Wavelet types, so that we can not only use 2D medical images to compress with wavelets, but also 2Dimages in time, 3D-images and even 3D-images in time for compression with our application. The last important feature of our application is that, unlike other image processing programs, we used the latest technology, which is Microsoft Visual Studio 2005 (Visual C# 2005) for the implementation.
dc.publisher : Xios
dc.contributor :
dc.date : 2006
dc.type : Electronic Thesis or Dissertation
dc.format : application/pdf
dc.identifier : http://doksxios.pxl.be/doks/do/record/Get?dispatch=view&recordId=Sxhl8ae57e8c0ec7ed15010ee1bbd70a001d
dc.language : eng
dc.rights : All rights reserved
etd.degree.name : Electronica
etd.degree.level : Master
etd.degree.discipline : ICT
etd.degree.grantor : Xios
 
 

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