Adaptive lossless prediction based image compression

Raka Jovanovic, Rudolph A. Lorentz

Research output: Contribution to journalArticle

3 Citations (Scopus)


Predictive methods of image compression traditionally visit the pixels to be compressed in raster scan order, making a prediction for that pixel and storing the difference between the pixel and its prediction. We introduce a new predictive lossless compression method in which the order in which the pixels are visited is determined using a predictor based on previously known pixel values. This makes it possible to reconstruct the image without storing this path. In our tests on standard benchmark images; we show that our approach gives a significant improvement to row wise use of one or two dimensional predictors and gives results similar to or better than standard compression algorithms like median compression and JPG 2000.

Original languageEnglish
Pages (from-to)153-160
Number of pages8
JournalApplied Mathematics and Information Sciences
Issue number1
Publication statusPublished - 1 Jan 2014



  • Adaptive
  • Image compression
  • Prediction methods

ASJC Scopus subject areas

  • Analysis
  • Numerical Analysis
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Applied Mathematics

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