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
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.
If you want to cite this thesis in your own thesis, paper, or report, use this format (APA):
GOCERI, E. (2006). Image processing with JPEG 2000 applied to multidimensionel (medical) images.
Unpublished thesis, Xios, IWT.