Open AccessAn enhanced second order prediction using the statistics of image difference signal for HEVC
Author(s) -
Xiaoyu Su
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2006/1/012029
Subject(s) - residual , computer science , algorithm , mean squared prediction error , pixel , image (mathematics) , signal (programming language) , artificial intelligence , linear prediction , bit rate , pattern recognition (psychology) , real time computing , programming language
This paper presents an enhanced second order prediction (ESOP) algorithm using the statistics of image difference signal. The algorithm can selectively control the residual of the first inter prediction for the second intra prediction. Unlike other second order prediction (SOP) algorithms, our proposed algorithm employs a check-strategy to adaptively select the residual of the first inter prediction for the second intra prediction so that the correlation between residual pixels can be kept close to the allocated accurate prediction as much as possible. Experimental results show that under the same condition, on average, the PSNR is increased by 0.40dB and the bit rate is reduced by 6.15% as compared with traditional second order prediction for QCIF and CIF sequences. This selective algorithm is particularly suitable for dealing with video contents containing complex motions in video compression.