Efficient lossless coding of highpass bands from block-based motion compensated wavelet lifting using JPEG 2000

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Schnurrer W, Tröger T, Richter T, Seiler J, Kaup A
Publisher: Institute of Electrical and Electronics Engineers Inc.
Publication year: 2014
Pages range: 398-401
ISBN: 9781479961399
Language: English


Abstract


Lossless image coding is a crucial task especially in the medical area, e.g., for volumes from Computed Tomography or Magnetic Resonance Tomography. Besides lossless coding, compensated wavelet lifting offers a scalable representation of such huge volumes. While compensation methods increase the details in the lowpass band, they also vary the characteristics of the wavelet coefficients, so an adaption of the coefficient coder should be considered. We propose a simple invertible extension for JPEG 2000 that can reduce the filesize for lossless coding of the highpass band by 0.8% on average with peak rate saving of 1.1%.


FAU Authors / FAU Editors

Kaup, André Prof. Dr.-Ing.
Lehrstuhl für Multimediakommunikation und Signalverarbeitung
Richter, Thomas Dr.-Ing.
Lehrstuhl für Multimediakommunikation und Signalverarbeitung
Schnurrer, Wolfgang
Lehrstuhl für Multimediakommunikation und Signalverarbeitung
Seiler, Jürgen PD Dr.-Ing.
Lehrstuhl für Multimediakommunikation und Signalverarbeitung
Tröger, Tobias
Lehrstuhl für Multimediakommunikation und Signalverarbeitung


How to cite

APA:
Schnurrer, W., Tröger, T., Richter, T., Seiler, J., & Kaup, A. (2014). Efficient lossless coding of highpass bands from block-based motion compensated wavelet lifting using JPEG 2000. In Proceedings of the IEEE Int. Conf. on Visual Communications and Image Processing (VCIP) (pp. 398-401). Valletta, MT: Institute of Electrical and Electronics Engineers Inc..

MLA:
Schnurrer, Wolfgang, et al. "Efficient lossless coding of highpass bands from block-based motion compensated wavelet lifting using JPEG 2000." Proceedings of the IEEE Int. Conf. on Visual Communications and Image Processing (VCIP), Valletta Institute of Electrical and Electronics Engineers Inc., 2014. 398-401.

BibTeX: 

Last updated on 2019-20-04 at 17:04