Abstract

In this study, we propose a novel method for color constancy based on image similarity. Discuss how to improve illumination estimation techniques and take extracted effective information from the regions of the images into account. Design a strategy to select effective candidate images from image classes which present different content and are usually taken under different illumination conditions. The method has been tested on a suitable and widely used dataset. Experimental results clearly demonstrate that the proposed method is more effective than the former statistics algorithms base on local spaces.

Keywords:

Color constancy, effective candidate images effective regions, image similarity,

References

Competing interests

The authors have no competing interests.

Open Access Policy

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Copyright

The authors have no competing interests.