APSIPA Transactions on Signal and Information Processing > Vol 7 > Issue 1

Non-linear contour-based multidirectional intra coding

Thorsten Laude, Leibniz University Hannover, Germany, laude@tnt.uni-hannover.de , Jan Tumbrägel, Leibniz University Hannover, Germany, Marco Munderloh, Leibniz University Hannover, Germany, Jörn Ostermann, Leibniz University Hannover, Germany
 
Suggested Citation
Thorsten Laude, Jan Tumbrägel, Marco Munderloh and Jörn Ostermann (2018), "Non-linear contour-based multidirectional intra coding", APSIPA Transactions on Signal and Information Processing: Vol. 7: No. 1, e11. http://dx.doi.org/10.1017/ATSIP.2018.14

Publication Date: 17 Oct 2018
© 2018 Thorsten Laude, Jan Tumbrägel, Marco Munderloh and Jörn Ostermann
 
Subjects
 
Keywords
Intra codingPredictionImage CodingVideo codingHEVC
 

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This is published under the terms of the Creative Commons Attribution licence.

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In this article:
I. INTRODUCTION 
II. RELATED WORK 
III. CONTOUR-BASED MULTIDIRECTIONAL INTRA CODING 
IV. EVALUATION 
V. CONCLUSION 

Abstract

Intra coding is an essential part of all video coding algorithms and applications. Additionally, intra coding algorithms are predestined for an efficient still image coding. To overcome limitations in existing intra coding algorithms (such as linear directional extrapolation, only one direction per block, small reference area), we propose non-linear Contour-based Multidirectional Intra Coding. This coding mode is based on four different non-linear contour models, on the connection of intersecting contours and on a boundary recall-based contour model selection algorithm. The different contour models address robustness against outliers for the detected contours and evasive curvature changes. Additionally, the information for the prediction is derived from already reconstructed pixels in neighboring blocks. The achieved coding efficiency is superior to those of related works from the literature. Compared with the closest related work, BD rate gains of 2.16% are achieved on average.

DOI:10.1017/ATSIP.2018.14