Search results for "Dehazing"

showing 3 items of 3 documents

Model and quality assessment of single image dehazing

2016

This thesis is mainly related to color imaging science, involving many disciplines, such as color image enhancement, image formation, color reproduction, optical physics, radiometry, colorimetry, image quality and psychophysics.Dehazing aims at recovering the image information degraded by light scattering, e.g. bad weather. This process is an ill-posed and a challenging problem. Although a variety of approaches have been proposed, there is still room for further improvement and standardization. In this work, we investigate the limitations of haze model in terms of accuracy of color image recovery. We address also the link between the visibility deterioration and the spectral content of the …

Multispectral hazy image databaseBase de données d'images de brumes multispectralesPsychometric experimentDehazingImage qualityColor hazy image database[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingQualité de l'image[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingBase de données d'images de brumes couleurExpérience psychométrique[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
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A spectral hazy image database

2020

We introduce a new database to promote visibility enhancement techniques intended for spectral image dehazing. SHIA (Spectral Hazy Image database for Assessment) is composed of two real indoor scenes M1 and M2 of 10 levels of fog each and their corresponding fog-free (ground-truth) images, taken in the visible and the near infrared ranges every 10 nm starting from 450 to 1000 nm. The number of images that form SHIA is 1540 with a size of \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$1312\,\times \,1082$$\end{d…

Pixelbusiness.industryImage qualityAccurate estimationComputer scienceImage (category theory)Near-infrared spectroscopyVisibility (geometry)020207 software engineering02 engineering and technologyArticle[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV]Image databaseHazy image databaseDehazing[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]0202 electrical engineering electronic engineering information engineeringImage quality020201 artificial intelligence & image processingComputer visionNoise (video)Artificial intelligencebusiness
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The impact of noise estimation on dehazing

2020

International audience; Under haze or fog, the quality of the images is degraded due to the atmosphere, causing the details of the images to be difficult to identify by observers and computer vision systems. Such images contain noise, which is mainly due either to environment (extrinsic noise) or sensor (intrinsic noise). As the transmission of light coming from the scenes' objects is exponentially attenuated and comes quickly down to zero in presence of haze, the noise is greatly amplified at high haze densities and long distances. In order to investigate the importance of the accurate estimation and the removal of noise from hazy images, we used the CHIC (Color Hazy Image for Comparison) …

[INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV][INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]denoisingimage qualitydehazingcolor
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