On the influence of clipping in lossless predictive and wavelet coding of noisy images
Schnurrer W, Seiler J, Schoberl M, Kaup A (2012)
Publication Language: English
Publication Status: Published
Publication Type: Conference contribution, Conference Contribution
Publication year: 2012
Pages Range: 185-188
Article Number: 6213323
Event location: Krakow
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.
Authors with CRIS profile
Wolfgang Schnurrer
Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS)
Jürgen Seiler
Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS)
Andre Kaup
Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS)
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. In Proceedings of the 29th Picture Coding Symposium, PCS 2012 (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.
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