Title :
Residue data prediction algorithm for efficient video compression
Author :
Kim, Seong Dae ; Sunwoo, Myung Hoon
Author_Institution :
Sch. of Electr. & Comput. Eng., Ajou Univ., Suwon, South Korea
Abstract :
A novel residue data prediction algorithm to improve video coding efficiency is presented. The proposed algorithm performs an additional second prediction to remove the remaining signal correlation after the first prediction. Simulation results show that the proposed algorithm can reduce bit rate by up to 8.01% compared with the JM reference software without any degradation of the peak-signal-to-noise ratio.
Keywords :
data compression; video coding; JM reference software; peak-signal-to-noise ratio; residue data prediction algorithm; signal correlation; video coding efficiency; video compression;
Journal_Title :
Electronics Letters
DOI :
10.1049/el.2010.0974