08-16-2017, 10:51 PM
Single Image Dehazing
Raanan Fattal
In this project we present a new method for estimating the optical transmission in hazy scenes given a single input image. Based on
this estimation, the scattered light is eliminated to increase scene visibility and recover haze-free scene contrasts. In this new
approach we formulate a refined image formation model that accounts for surface shading in addition to the transmission function. This
allows us to resolve ambiguities in the data by searching for a solution in which the resulting shading and transmission functions
are locally statistically uncorrelated. A similar principle is used to estimate the color of the haze. Results demonstrate the new
method abilities to remove the haze layer as well as provide a reliable transmission estimate which can be used for additional
applications such as image refocusing and novel view synthesis.
Image dehazing in matlab
The following Matlab project contains the source code and Matlab examples used for image dehazing. This program is to dehaze an image which is hazed by atmospheric parameters by using multiple fusion technique..
The source code and files included in this project are listed in the project files section, please make sure whether the listed source code meet your needs there.
Project Files:
File Name Size
hazed.jpg 52761
hazed1.jpg 56845
hazed2.jpg 82820
hazed3.jpg 50936
hazed4.jpg 74613
hazed5.jpg 135278
hazed6.jpg 148226
hazed7.jpg 66151
chromaticWeightmap.m 401
enhanceContrast.m 435
fusedPyramid.m 202
genPyr.m 640
luminanceWeightmap.m 177
main.m 2876
pyrBlend.m 901
pyrReconstruct.m 372
pyr_expand.m 1404
pyr_reduce.m 729
saliencyWeightmap.m 366
whiteBalance.m 702
license.txt 1314