Perceptual Fog Density Assessment and Image Defogging Research at LIVE

LIVE Image Defogging Database Release

     Referenceless Prediction of Perceptual Fog Density and Perceptual Image Defogging NEW!

• No-reference perceptual fog density prediction model based on natural scene statistics and fog aware statistical features.
   
• No-reference perceptual image defogging algorithm.

Software Release

• Fog Aware Density Evaluator (FADE) NEW!
  Download here.
• DEnsity of Fog Assessment-based Defogger (DEFADE) NEW!
  Download here.

      Please cite the following papers in any published work if you use above database or software. 
     

• L. K. Choi, J. You, and A. C. Bovik, "Referenceless Prediction of Perceptual Fog Density and Perceptual Image Defogging," IEEE Transactions on Image Processing, vol. 24, no. 11, pp. 3888-3901, Nov. 2015. (PDF)
• L. K. Choi, J. You, and A. C. Bovik, "Referenceless perceptual image defogging," IEEE Southwest Symposium on Image Analysis and Interpretation, Apr. 2014. (PDF)
• L. K. Choi, J. You, and A. C. Bovik, "Referenceless perceptual fog density prediction model," SPIE Human Vision and Electronic Imaging, Feb. 2014. (PDF)
• L. K. Choi, J. You, and A. C. Bovik, "LIVE Image Defogging Database," Online: https://www.colorado.edu/lab/live/referenceless-prediction-perceptual-fog-density-and-perceptual-image-defogging