Transform-based medical image compression

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dc.contributor.authorMuldner, Katarzyna Aniaen_US
dc.date.accessioned2024-08-14T22:55:06Z
dc.date.available2024-08-14T22:55:06Z
dc.date.copyright1997en_US
dc.date.issued1997
dc.degree.departmentDepartment of Computer Science
dc.degree.levelMaster of Science M.Sc.en
dc.description.abstractThe wavelet transform has received much attention in the signal processing and data compression fields. A popular way of achieving i1nage compression is by using the Embedded Zero Tree approach to code the wavelet-trans­formed data. This is primarily a lossy technique, but has been adapted to loss­ less compression applications. We propose a new approach to compress the wavelet transformed data, which allows for the exact recovery of the original image. The approach is based on exploiting the characteristics of the wavelet coefficients through the careful construction of a model. The lossless com­pression ratios obtained with our approach surpass several of the lossless compressors applied to image files in the majority of cases.
dc.format.extent79 pages
dc.identifier.urihttps://hdl.handle.net/1828/19066
dc.rightsAvailable to the World Wide Weben_US
dc.titleTransform-based medical image compressionen_US
dc.typeThesisen_US

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