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Dataset and dehazing methods for non-homogeneous and dense hazy scenes

Project description

An improved method of removing haze from images

Under bad weather conditions such as haze, the quality of images degrades severely due to the presence of floating particles in the air that scatter light. Objects are therefore difficult to be identified either by human vision or computer vision systems. Existing haze removal (dehazing) techniques perform poorly when it comes to dense homogeneous hazy scenes. The EU-funded NH-DEHAZE project will develop dehazing techniques that do not assume homogeneous distribution of light and haze. It will build up the first image dataset that includes pairs of real scenes, hazy as well as clear. Deep neural networks will then be trained to derive clear images out of the hazy ones.

Coordinator

UNIVERSITE CATHOLIQUE DE LOUVAIN
Net EU contribution
€ 178 320,00
Address
Place De L Universite 1
1348 Louvain La Neuve
Belgium

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Region
Région wallonne Prov. Brabant Wallon Arr. Nivelles
Activity type
Higher or Secondary Education Establishments
Other funding
€ 178 320,00