Performance optimized predictor blending technique for lossless image coding

Author

Ulacha, Grzegorz ; Stasinski, Ryszard

Author_Institution

Poznan Univ. of Technol., West Pomeranian Univ. of Technol., Poznan, Poland

fYear

2011

fDate

22-27 May 2011

Firstpage

1541

Lastpage

1544

Abstract

The paper presents a lossless coding method based on predictor blending approach that codes nine widely used benchmark images with the lowest average bitrate ever published. At the same time the algorithm is more time efficient than its most important competitors: TMW^LEGO, MRP 0.5, and Multi-WLS. A set of 20 blended predictors is applied, including adaptive RLS/OLS ones, ALCM, CoBALP, and a texture context mapping one. A sophisticated error bias removal method is applied to outputs from few of them. Prediction error is coded using an advanced adaptive context arithmetic coder.

Keywords

adaptive codes; arithmetic codes; error statistics; image coding; image texture; ALCM; CoBALP; MRP 0.5; TMW; adaptive RLS-OLS; advanced adaptive context arithmetic coder; average bitrate; error bias removal method; lossless image coding; multi-WLS; performance optimized predictor blending technique; texture context mapping; Algorithm design and analysis; Context; Encoding; Image coding; Materials requirements planning; Pixel; Prediction algorithms; Lossless coding; adaptive context arithmetic coder; adaptive prediction; prediction error bias removal; predictor blending;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on

Conference_Location

Prague

ISSN

1520-6149

Print_ISBN

978-1-4577-0538-0

Electronic_ISBN

1520-6149

Type

conf

DOI

10.1109/ICASSP.2011.5946788

Filename

5946788