Advanced intra prediction based on optimal linear predictors for weakly-predicted subspace

Sungjei Kim; Yoonsik Choe; Yong-Goo Kim

doi:10.1117/1.3597642

1 July 2011 Advanced intra prediction based on optimal linear predictors for weakly-predicted subspace

Sungjei Kim, Yoonsik Choe, Yong-Goo Kim

Author Affiliations +

Funded by: National IT Industry Promotion Agency (NIPA), National IT Industry Promotion Agency, NIPA(National IT Industry Promotion Agency)

Optical Engineering, Vol. 50, Issue 7, 077403 (July 2011). https://doi.org/10.1117/1.3597642

Abstract

The performance of intra coding is important in many broadcasting and professional applications, because repeated insertion of intra frames usually requires a large portion of video data. In order to improve such intra coding performance, this paper proposes an advanced intra prediction scheme, systematically increasing prediction precision via optimal linear predictors for weakly-predicted subspace. Experimental results show that the proposed scheme outperforms the conventional and the recent best intra prediction methods by up to 11.41% and 9.08% of bitrate reduction, respectively.

©(2011) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Sungjei Kim, Yoonsik Choe, and Yong-Goo Kim "Advanced intra prediction based on optimal linear predictors for weakly-predicted subspace," Optical Engineering 50(7), 077403 (1 July 2011). https://doi.org/10.1117/1.3597642

Published: 1 July 2011

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KEYWORDS

Computer programming

Optical engineering

Video coding

Video

Optimal filtering

Quantization

Signal processing

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