In-loop denoising of reference frames for lossless coding of noisy image sequences

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Wige E, Amon P, Hutter A, Kaup A
Publication year: 2010
Pages range: 461-464
ISBN: 9781424479948


Abstract


The major gain in video coding applications compared to single image coding is the use of temporal prediction, which exploits the correlation between adjacent frames. However, in high quality video coding, especially lossless video coding, the compression gain of P-frames over I-Frames becomes very small. The reason for that is that the reference frame for inter prediction is not good enough, and therefore the amount of inter-predicted blocks in a P-Frame becomes relatively small compared to the number of intra-predicted blocks. In order to generate a better predictor for inter-prediction, we propose to remove additive noise from the reference frame using an adaptive Wiener filter. This way, we could achieve a maximum compression gain of 4.6% and an average compression gain of 3.3% in contrast to the H.264/AVC standard for lossless coding of high quality image sequences without affecting the encoding time noticeably. © 2010 IEEE.



FAU Authors / FAU Editors

Kaup, Andre Prof. Dr.-Ing.
Lehrstuhl für Multimediakommunikation und Signalverarbeitung
Wige, Eugen
Lehrstuhl für Multimediakommunikation und Signalverarbeitung


External institutions
Siemens AG


How to cite

APA:
Wige, E., Amon, P., Hutter, A., & Kaup, A. (2010). In-loop denoising of reference frames for lossless coding of noisy image sequences. (pp. 461-464). Hong Kong, CN.

MLA:
Wige, Eugen, et al. "In-loop denoising of reference frames for lossless coding of noisy image sequences." Proceedings of the 2010 17th IEEE International Conference on Image Processing, ICIP 2010, Hong Kong 2010. 461-464.

BibTeX: 

Last updated on 2018-07-08 at 01:59