A Review on Multiple Haze Removing Techniques for Single Image

Satinderpal Kaur, Meenakshi Bansal

Abstract


Single image haze removal has been a difficult
drawback owing to its ill-posed nature. We have a tendency to
propose an easy however powerful color attenuation previous
for haze removal from one input hazy image. By making a
linear model for modeling the scene depth of the hazy image
below this novel previous and learning the parameters of the
model with a supervised learning methodology, the depth info
will be nicely recovered. With the intensity map of the hazy
photograph, we will simply estimate the transmission and
restore the scene radiance via the region scattering model,
and therefore effectively take away the haze from one image.
Experimental results show that the planned approach
outperforms progressive haze removal algorithms in terms of
each potency and also the dehazing impact. The goal of this
work is to restore the outdoor images using different image
dehazing methods. The unique styles of parameters are figured
which are PSNR, MSE, SSIM and Processing Time.

 

Keywords: Defog, Restoration, depth map, Color Attenuation,
Parameters(PSNR, MSE, SSIM, Time).


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DOI: https://doi.org/10.26483/ijarcs.v7i6.2802

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