A Color Image Database for Haze Model and Dehazing Methods Evaluation

  • Jessica El Khoury
  • Jean-Baptiste Thomas
  • Alamin Mansouri
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9680)


One of the major issues related to dehazing methods (single or multiple image based) evaluation is the absence of the haze-free image (ground-truth). This is also a problem when it concerns the validation of Koschmieder model or its subsequent dehazing methods. To overcome this problem, we created a database called CHIC (Color Hazy Image for Comparison), consisting of two scenes in controlled environment. In addition to the haze-free image, we provide 9 images of different fog densities. Moreover, for each scene, we provide a number of parameters such as local scene depth, distance from the camera of known objects such as Macbeth Color Checkers, their radiance, and the haze level through transmittance. All of these features allow the possibility to evaluate and compare between dehazing methods by using full-reference image quality metrics regarding the haze-free image, and also to evaluate the accuracy of the Koschmieder hazy image formation model.


Image Quality Assessment Black Patch Scene Depth Outdoor Light Hazy Image 
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.



The authors thanks the Open Food System project for funding. This project is a part of The Investments for the Future Programme managed by Bpifrance,


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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Jessica El Khoury
    • 1
  • Jean-Baptiste Thomas
    • 1
  • Alamin Mansouri
    • 1
  1. 1.Le2i, Université de Bourgogne, Bâtiment Mirande - UFR Sciences and TechniquesDijon CedexFrance

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