Transform-based medical image compression
Date
1997
Authors
Muldner, Katarzyna Ania
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Abstract
The 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.