Title :
EISPI A Sub-pixel Interpolation Algorithm Based on AVS
Author :
Zhang, Jingchun ; Zhao, Juan ; Cui, Wenting ; Gao, Baojun ; Xing, Qiaojin
Author_Institution :
Sch. of Inf. Sci. & Eng., Lanzhou Univ., Lanzhou, China
Abstract :
This paper first gives a brief interview of AVS, especially on prediction modes of motion estimation by sub-pixel and quarter-pixel interpolation. Furthermore a new sub-pixel interpolation algorithm--EISPI based on analyzing some traditional sub-pixel interpolation algorithms is discussed in details. EISPI mainly adopts the method of threshold decision to divide the pixels into two kinds and then applies different interpolation algorithms separately. The simulation results show that EISPI can not only increase the precision of the interpolation but also save the time of the interpolation obviously.
Keywords :
Algorithm design and analysis; Image coding; Information science; Interpolation; Machine vision; Man machine systems; Motion estimation; Pixel; Software algorithms; Video coding; AVS; Interpolation; Sub pixel; classification;
Conference_Titel :
Machine Vision and Human-Machine Interface (MVHI), 2010 International Conference on
Conference_Location :
Kaifeng, China
Print_ISBN :
978-1-4244-6595-8
Electronic_ISBN :
978-1-4244-6596-5
DOI :
10.1109/MVHI.2010.112