I-HAZE: a dehazing benchmark with real hazy and haze-free indoor images

@article{Ancuti2018IHAZEAD,
  title={I-HAZE: a dehazing benchmark with real hazy and haze-free indoor images},
  author={Codruta O. Ancuti and Cosmin Ancuti and Radu Timofte and Christophe De Vleeschouwer},
  journal={CoRR},
  year={2018},
  volume={abs/1804.05091}
}
Image dehazing has become an important computational imaging topic in the recent years. However, due to the lack of ground truth images, the comparison of dehazing methods is not straightforward, nor objective. To overcome this issue we introduce I-HAZE, a new dataset that contains 35 image pairs of hazy and corresponding haze-free (ground-truth) indoor images. Different from most of the existing dehazing databases, hazy images have been generated using real haze produced by a professional haze… CONTINUE READING

References

Publications referenced by this paper.
Showing 1-10 of 41 references

Computational colour science using matlab, 2nd edition

  • S. Westland, C. Ripamonti, V. Cheung
  • Wiley
  • 2005
Highly Influential
6 Excerpts

Similar Papers

Loading similar papers…