Title :
Lossless audio coding by predictor blending
Author :
Ulacha, Grzegorz ; Stasinski, Ryszard
Author_Institution :
Fac. of Comput. Sci. & Inf. Syst., West Pomeranian Univ. of Technol., Szczecin, Poland
Abstract :
In the paper potential bit rate savings obtained when implementing lossless audio coding using predictor blending technique are investigated. Three algorithms are analyzed: the simplest Blend-11, Blend-12, and Blend-13 containing 11, 12, and 13 subpredictors, respectively, and tested on 16 widely used benchmark recordings. Savings linked with inter-channel audio dependencies are also considered, appropriate predictor forms the part of Blend-13 method. Results for the last algorithms are also obtained when modeling stage is followed by an advanced arithmetical coder. It is shown that indeed, predictor blending approach to lossless audio compression improves data compaction properties of coding algorithms.
Keywords :
arithmetic codes; audio coding; data compression; predictor-corrector methods; advanced arithmetical coder; benchmark recordings; bit rate savings; coding algorithms; data compaction properties; interchannel audio dependencies; lossless audio coding; lossless audio compression; predictor blending technique; subpredictors; Audio coding; Bit rate; Context; Entropy; Histograms; Prediction algorithms; Context adaptive arithmetical coder; lossless audio coding; predictor blending; stereo coding;
Conference_Titel :
Telecommunications and Signal Processing (TSP), 2013 36th International Conference on
Conference_Location :
Rome
Print_ISBN :
978-1-4799-0402-0
DOI :
10.1109/TSP.2013.6613983