Analysis of prediction algorithms for residual compression in a lossy to lossless scalable video coding system based on HEVC

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Heindel A, Wige E, Kaup A
Publisher: SPIE
Publication year: 2014
Volume: 9217
Pages range: 13
ISBN: 9781628412444
Language: English


Abstract


Lossless image and video compression is required in many professional applications. However, lossless coding results in a high data rate, which leads to a long wait for the user when the channel capacity is limited. To overcome this problem, scalable lossless coding is an elegant solution. It provides a fast accessible preview by a lossy compressed base layer, which can be refined to a lossless output when the enhancement layer is received. Therefore, this paper presents a lossy to lossless scalable coding system where the enhancement layer is coded by means of intra prediction and entropy coding. Several algorithms are evaluated for the prediction step in this paper. It turned out that Sample-based Weighted Prediction is a reasonable choice for usual consumer video sequences and the Median Edge Detection algorithm is better suited for medical content from computed tomography. For both types of sequences the effciency may be further improved by the much more complex Edge-Directed Prediction algorithm. In the best case, in total only about 2.7% additional data rate has to be invested for scalable coding compared to single-layer JPEG-LS compression for usual consumer video sequences. For the case of the medical sequences scalable coding is even more efficient than JPEG-LS compression for certain values of QP.


FAU Authors / FAU Editors

Heindel, Andreas
Lehrstuhl für Multimediakommunikation und Signalverarbeitung
Kaup, André Prof. Dr.-Ing.
Lehrstuhl für Multimediakommunikation und Signalverarbeitung
Wige, Eugen
Lehrstuhl für Multimediakommunikation und Signalverarbeitung


How to cite

APA:
Heindel, A., Wige, E., & Kaup, A. (2014). Analysis of prediction algorithms for residual compression in a lossy to lossless scalable video coding system based on HEVC. In Proceedings of the Applications of Digital Image Processing XXXVII (pp. 13). San Diego, CA, US: SPIE.

MLA:
Heindel, Andreas, Eugen Wige, and André Kaup. "Analysis of prediction algorithms for residual compression in a lossy to lossless scalable video coding system based on HEVC." Proceedings of the Applications of Digital Image Processing XXXVII, San Diego, CA SPIE, 2014. 13.

BibTeX: 

Last updated on 2019-20-04 at 14:08