@inproceedings{a0c83f6edecc447f8a29ace136600527,
title = "Single image dehazing and denoising with variational method",
abstract = "In this paper, we propose an unified variational approach for image dehazing and denoising from a single input image. Total variation regularization terms are used in the energy functional. Also, we use the negative gradient descent method to solve the corresponding Euler-Lagrange equations. To obtain good initial values, we improve the estimation of transmission map with the windows adaptive method based on the dark channel prior which can overcomes the block effects. The numerical results demonstrate that our algorithm is effective and promising.",
keywords = "Block effects, Dark channel prior, Dehazing, Denoising, Transmission map, Variational approach, Windows adaptive method",
author = "Faming Fang and Fang Li and Xiaomei Yang and Chaomin Shen and Guixu Zhang",
year = "2010",
doi = "10.1109/IASP.2010.5476126",
language = "英语",
isbn = "9781424455553",
series = "IASP 10 - 2010 International Conference on Image Analysis and Signal Processing",
pages = "219--222",
booktitle = "IASP 10 - 2010 International Conference on Image Analysis and Signal Processing",
note = "2nd International Conference on Image Analysis and Signal Processing, IASP'2010 ; Conference date: 12-04-2010 Through 14-04-2010",
}