Depending on the amount of data to process, file generation may take longer.

If it takes too long to generate, you can limit the data by, for example, reducing the range of years.

Chapter

Download BibTeX

Title

New context-based adaptive linear prediction algorithm for lossless image coding

Authors

[ 1 ] Katedra Systemów Telekomunikacyjnych i Optoelektroniki, Wydział Elektroniki i Telekomunikacji, Politechnika Poznańska | [ P ] employee

Year of publication

2014

Chapter type

paper

Publication language

english

Keywords
EN
  • adaptive prediction
  • context coding
  • image lossless coding
  • prediction error bias correction
Abstract

EN In the paper an improved Context-Based Adaptive Linear Prediction (CoBALP_ultra) lossless image coding algorithm is presented. Three principal and few auxiliary contexts are defined. CoBALP stage is followed by two-step NLMS predictor, then cumulated predictor error is calculated on the basis of a new formula. It is shown experimentally that indeed, the new technique is time-effective while it outperforms the well known methods having reasonable time complexity, and is inferior only to extremely computationally complex ones.

Pages (from - to)

1 - 4

DOI

10.1109/ICSES.2014.6948714

URL

https://ieeexplore.ieee.org/document/6948714

Book

International Conference on Signals and Electronic Systems (ICSES) 2014, Poznan, 11-13 Sept. 2014

Presented on

International Conference on Signals and Electronic Systems (ICSES) 2014, 11-13.09.2014, Poznań, Poland

Publication indexed in

WoS (15)

This website uses cookies to remember the authenticated session of the user. For more information, read about Cookies and Privacy Policy.