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Integrating color constancy into JPEG2000.

Marc Ebner1, German Tischler, Jürgen Albert

  • 1Universität Würzburg, Lehrstuhl für Informatik II, Am Hubland, 97074 Würzburg, Germany. ebner@informatik.uni-wuerzburg.de

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|November 10, 2007
PubMed
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Color constancy enables consistent color perception under varying light. This study integrates color constancy algorithms, like Gray World and Retinex, into JPEG2000 for improved digital photography and object recognition.

Area of Science:

  • Computer Vision
  • Image Processing
  • Human-Computer Interaction

Background:

  • Human visual perception exhibits color constancy, maintaining stable color appearance despite changing illumination.
  • Digital sensors measure colors that vary with illuminant type, unlike human perception.
  • Color constancy is crucial for accurate digital photography (automatic white balance) and object recognition.

Purpose of the Study:

  • To review established color constancy algorithms.
  • To demonstrate the integration of color constancy into the JPEG2000 compression framework.
  • To enhance the robustness of digital image processing pipelines.

Main Methods:

  • Review of the Gray World assumption algorithm.
  • Review of the Retinex algorithm.

Related Experiment Videos

  • Integration methodology for color constancy within the JPEG2000 pipeline.

    • Main Results:

    • Color constancy algorithms can be effectively incorporated into image compression standards.
    • Minimal overhead is required for integrating color constancy into JPEG2000.
    • Potential for improved color accuracy in compressed digital images.

    Conclusions:

    • Integrating color constancy into JPEG2000 offers a practical solution for enhancing digital image quality.
    • This approach benefits applications requiring reliable color information, such as digital photography and object recognition.
    • The study highlights the feasibility and efficiency of adding color constancy processing within existing image compression frameworks.