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Paper Details

Paper Title
Image Dehazing using Guided Image Filter
Abstract
Imaging in bad weather is frequently tarnished by dispersion due to suspended particles in the troposphere such as haze, fog and mist. It decreases scene visibility. In this paper we have proposed a haze removal algorithm using color attenuation prior model and Guided Image Filter. By creating a linear model for modelling the scene depth of the hazy image under this novel prior and learning the parameters of the model by using a supervised learning method, the depth information can be well recovered. Once depth information is recovered, it is used to estimate transmission map. We can easily restore the radiance via the atmospheric scattering model and thus perfectly remove the haze part from the image. We have implemented this algorithm by using Guided image filter and Weighted Guided Image Filter. The use of Weighted Guided Image Filter improves the performance of algorithm. The algorithm achieves high quality dehazing with high structural similarity and less mean square error.
KeyWord
Dehazing, image defogging, image restoration,airlight, attenuation, scene radiance, guided image filter.
Others Details
Paper Id : 80598
Author Name : Prof. Raskar V.B
Co-Author Name(s) : Mr. Tupe S.G
Volume/Issue No : Volume 04 Issue 07
Page No : 43-49
DOI Number : DOI:10.21090/IJAERD.80598
Publication Date : 2017-07-07
License : This work is licensed under a Creative Commons Attribution 4.0 International License.
website : http://www.ijaerd.com/index.php
Impact Factor : 4.72, SJIF-2016
ISSN Details : eISSN: 2348-4470, pISSN:2348-6406