Muldner, Katarzyna Ania2024-08-142024-08-1419971997https://hdl.handle.net/1828/19066The 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.79 pagesAvailable to the World Wide WebTransform-based medical image compressionThesis