8 February 2017 Sample-adaptive-prediction for HEVC SCC intra coding with ridge estimation from spatially neighboring samples
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Proceedings Volume 10225, Eighth International Conference on Graphic and Image Processing (ICGIP 2016); 102251J (2017) https://doi.org/10.1117/12.2266115
Event: Eighth International Conference on Graphic and Image Processing, 2016, Tokyo, Japan
Abstract
In this paper a sample-adaptive prediction technique is proposed to yield efficient coding performance in an intracoding for screen content video coding. The sample-based prediction is to reduce spatial redundancies in neighboring samples. To this aim, the proposed technique uses a weighted linear combination of neighboring samples and applies the robust optimization technique, namely, ridge estimation to derive the weights in a decoder side. The ridge estimation uses L2 norm based regularization term, and, thus the solution is more robust to high variance samples such as in sharp edges and high color contrasts exhibited in screen content videos. It is demonstrated with the experimental results that the proposed technique provides an improved coding gain as compared to the HEVC screen content video coding reference software.
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Je-Won Kang, Je-Won Kang, Soo-Kyung Ryu, Soo-Kyung Ryu, } "Sample-adaptive-prediction for HEVC SCC intra coding with ridge estimation from spatially neighboring samples", Proc. SPIE 10225, Eighth International Conference on Graphic and Image Processing (ICGIP 2016), 102251J (8 February 2017); doi: 10.1117/12.2266115; https://doi.org/10.1117/12.2266115
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