We present an approach to easily remove the effects of haze from images. It is based on the fact that usually airlight scattered by atmospheric particles is partially polarized. Polarization filtering alone cannot remove the haze effects, except in restricted situations. Our method, however, works under a wide range of atmospheric and viewing conditions. We analyze the image formation process, ...

This review paper presents a study about various image dehazing methods to remove the haze in the captured hazy images to recover a better and improved quality of haze free images. One of the critical problems in the field of image processing is the restoration of the images those are corrupted due to various degradations. Images of natural outdoor scenes is degraded due to bad weather conditio...

In this paper, we propose a simple but powerful prior, color attenuation prior, for haze removal from a single input hazy image. 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. With the depth map of the hazy image, we can ...

Adverse weather conditions such as haze can deteriorate the performance of autonomous driving and intelligent transport systems. As a potential remedy, we propose an enhanced multi-scale network, dubbed GridDehazeNet+, for single image dehazing. The proposed dehazing method does not rely on Atmosphere Scattering Model (ASM), explanation to why it is necessarily performing dimension reduction of...

Abstract Most recent learning algorithms for single image dehazing are designed to train with paired hazy and corresponding ground truth images, typically synthesized images. Real datasets can help improve performance, but tough acquire. This paper proposes an unsupervised algorithm based on GAN alleviate this issue. An end-to-end network architecture is established fed unpaired clean signifyin...

Remote sensing images are widely used in object detection and tracking, military security, other computer vision tasks. However, remote often degraded by suspended aerosol the air, especially under poor weather conditions, such as fog, haze, mist. The quality of directly affect normal operations systems. As such, haze removal is a crucial indispensable pre-processing step image processing. Addi...