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Based on Color Constancy Estimation Based on Color Constancy Estimation

Abstract

We address the problem of contrast enhancement for color images. Our method to enhance images is inspired from the retinex theory. We try to estimate the illumination and separate it from the reflectance component of an image. We use denoising techniques to estimate the illumination and while doing so achieve color constancy. We enhance only the illumination component of the image. The parameters for enhancement are estimated automatically. This enhanced illumination is then multiplied with the reflectance to obtain enhanced images with better contrast. We provide validation of our color constancy approach and show performance better than state-of-the-art approaches. We also show ''visually better'' results while comparing our enhancement results with those from other enhancement techniques and from commercial software packages. We perform statistical analysis of our results and quantitatively show that our approach produces effective image enhancement. This is validated by ratings from human observers.

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Correspondence to Gérard Medioni.

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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License (https://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Choudhury, A., Medioni, G. Based on Color Constancy Estimation Based on Color Constancy Estimation. J Image Video Proc 2010, 837237 (2010). https://doi.org/10.1155/2010/837237

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Keywords

  • Color
  • Pattern Recognition
  • Computer Vision
  • Contrast Enhancement
  • Color Image