ut ut

Laboratory for Image & Video Engineering

Perceptual Fog Density Assessment and Image Defogging Research at LIVE

The Perceptual Fog Density Assessment and Image Defogging Research at LIVE are being conducted in collaboration with Hongik Univ.

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 Releases

      Please cite the following papers in any published work if you use above 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 Sympposium on Image Analysis and Interpretion, Apr. 2014, pp. 165-168. (PDF)
      L. K. Choi, J. You, and A. C. Bovik, "Referenceless perceptual fog density prediction model,"
      SPIE Human Vision and Electronic Imaging, Feb. 2014, 90140H. (PDF)