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Edge-based color constancy.

Joost van de Weijer1, Theo Gevers, Arjan Gijsenij

  • 1LEAR team, INRIA Rhone-Alpes, 38330 Montbonnot, France. joost.van-de-weijer@inrialpes.fr

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|September 6, 2007
PubMed
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Researchers introduce the gray-edge hypothesis for color constancy, assuming average edge differences are achromatic. This new method, based on image derivatives, offers efficient and comparable results to existing techniques.

Area of Science:

  • Computer Vision
  • Image Processing
  • Computational Photography

Background:

  • Color constancy aims to perceive object colors consistently under varying illumination.
  • Existing methods often rely on the gray-world assumption, which may not always hold true.
  • Current algorithms typically analyze the zero-order image structure.

Purpose of the Study:

  • Propose a novel hypothesis for color constancy: the gray-edge hypothesis.
  • Develop a new color constancy algorithm based on image derivative structures.
  • Unify existing and new algorithms within a flexible framework.

Main Methods:

  • Introduced the gray-edge hypothesis, assuming achromatic average edge differences.
  • Developed algorithms based on the derivative (first-order) structure of images.

Related Experiment Videos

  • Created a unifying framework encompassing gray-world, max-RGB, Minkowski norm, and gray-edge algorithms.

    • Main Results:

    • Proposed gray-edge and higher-order gray-edge algorithms demonstrate comparable performance to state-of-the-art methods.
    • The new algorithms are computationally more efficient than existing approaches.
    • Experiments on large datasets validate the effectiveness of the proposed methods.

    Conclusions:

    • The gray-edge hypothesis provides a viable alternative for color constancy.
    • Derivative-based image analysis offers an efficient approach to color constancy.
    • The unifying framework facilitates the comparison and development of diverse color constancy algorithms.