DocumentCode :
3570685
Title :
Sharpening filter for interlayer prediction
Author :
Sychev, Maxim ; Ikonin, Sergey ; Anisimovskiy, Valery
Author_Institution :
Media Commun. Lab., Huawei Technol. Co., Ltd. (Russia), Moscow, Russia
fYear :
2014
Firstpage :
470
Lastpage :
473
Abstract :
This paper describes method of predicting enhancement layer pictures from base layer pictures for Scalable extension of High Efficiency Video Coding (SHVC). SHVC stream contains multiple layers of different types of scalability: temporal, spatial or quality. The interlayer prediction requires to increase the amount of high frequency details which is absent in a base layer reference picture. It is realized by the proposed sharpening filter that applied to base layer reference picture. Applying this filter allows to reduce residual between source and the predicted pictures. The simulations under SHVC common test conditions defined by JCT-VC show 1.8% BD-rate reduction on average for all intra-2× [AI] configurations. For Class A test sequences 3.1% BD-rate reduction on average for AI-2× configurations was achieved.
Keywords :
image enhancement; image filtering; prediction theory; video coding; BD-rate reduction; Class A test sequences; SHVC stream; base layer reference picture; enhancement layer pictures prediction; interlayer prediction; scalable extension of high efficiency video coding; sharpening filter; Artificial intelligence; Complexity theory; Encoding; Streaming media; Vectors; Video codecs; Video coding; HEVC; Inter-layer; SHVC; Scalable; Sharpening filter; Video codec;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Visual Communications and Image Processing Conference, 2014 IEEE
Type :
conf
DOI :
10.1109/VCIP.2014.7051608
Filename :
7051608
Link To Document :
بازگشت