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FORI-CSDR - A New Approach for Context Sensitive Image Data Reduction

  • Uwe Strohbeck
  • Uwe Jäger
  • Alastair Macgregor
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1689)

Abstract

This paper presents the theory of the FORI-CSDR algorithm (Focus On Regions of Interest — Context-Sensitive Data Reduction). The FORI-CSDR algorithm is able to reduce the amount of image data in dependence of the image context. Within the important image regions nearly no image data will be reduced. The image data of the unimportant image regions are reduced in a very strong way. The data reduction factors for the important and the unimportant image regions can be chosen independently. The FORI-CSDR (focus on regions of interest — context sensitive data reduction) algorithm is able to increase the total data compression rate by varying the image quality settings block-wise, depending on a determined DOI (degree of interest) value.

Keywords

Variable Length Code Quantization Unit Pixel Block Quantization Table Object Edge 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1999

Authors and Affiliations

  • Uwe Strohbeck
    • 1
  • Uwe Jäger
    • 1
    • 2
  • Alastair Macgregor
    • 3
  1. 1.Department of ElectronicsFachhochschule Heilbronn University of Applied SciencesHeilbronnGermany
  2. 2.Steinbeis Transferzentrum HeilbronnHeilbronnGermany
  3. 3.University of Northumbria at Newcastle upon TyneNewcastle upon TyneUK

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