On the influence of clipping in lossless predictive and wavelet coding of noisy images

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Schnurrer W, Seiler J, Schoberl M, Kaup A
Publication year: 2012
Pages range: 185-188
ISBN: 9781457720482


Abstract


Especially in lossless image coding the obtainable compression ratio strongly depends on the amount of noise included in the data as all noise has to be coded, too. Different approaches exist for lossless image coding. We analyze the compression performance of three kinds of approaches, namely direct entropy, predictive and wavelet-based coding. The results from our theoretical model are compared to simulated results from standard algorithms that base on the three approaches. As long as no clipping occurs with increasing noise more bits are needed for lossless compression. We will show that for very noisy signals it is more advantageous to directly use an entropy coder without advanced preprocessing steps. © 2012 IEEE.



FAU Authors / FAU Editors

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


How to cite

APA:
Schnurrer, W., Seiler, J., Schoberl, M., & Kaup, A. (2012). On the influence of clipping in lossless predictive and wavelet coding of noisy images. (pp. 185-188). Krakow, PL.

MLA:
Schnurrer, Wolfgang, et al. "On the influence of clipping in lossless predictive and wavelet coding of noisy images." Proceedings of the 29th Picture Coding Symposium, PCS 2012, Krakow 2012. 185-188.

BibTeX: 

Last updated on 2018-09-12 at 20:50