Title :
Wavelet coding of volumetric medical datasets
Author :
Schelkens, Peter ; Munteanu, Adrian ; Cornelis, Jens
Author_Institution :
Dept. of Electron. & Inf. Process., Vrije Univ., Brussels, Belgium
Abstract :
This paper assesses the coding performance of several state-of-the-art 3D wavelet coders and compares them with newly proposed compression methods exploiting quadtree and block-based coding concepts, layered zero-coding principles and context-based arithmetic coding. The discussed wavelet-based coding algorithms produce losslessly compressed embedded data streams, supporting the desired progressive data transmission functionality. Moreover, objective and subjective quality evaluations on various medical volumetric datasets show that the newly proposed algorithms provide competitive lossy and lossless compression results compared to the state-of-the-art.
Keywords :
data compression; image coding; medical image processing; transform coding; wavelet transforms; 3D wavelet coders; block-based coding; context-based arithmetic coding; embedded data streams; image coding; layered zero-coding; lossless compression; lossy compression; objective quality evaluations; progressive data transmission functionality; quadtree coding; subjective quality evaluations; volumetric medical datasets; wavelet coding; Arithmetic; Biomedical imaging; Computed tomography; Data communication; Image coding; Magnetic resonance imaging; Medical diagnostic imaging; Positron emission tomography; Propagation losses; Ultrasonic imaging;
Conference_Titel :
Image Processing. 2002. Proceedings. 2002 International Conference on
Print_ISBN :
0-7803-7622-6
DOI :
10.1109/ICIP.2002.1038946