Development of Image Quality Assessment (IQA) For Haze Prediction

Abstract

Haze is a term that is widely used in image processing to refer to natural and human activity-emitted aerosols. It causes light scattering and absorption, which reduce the visibility of captured images. This reduction hinders the proper operation of many photographic and computer vision applications, such as object recognition/localization. Therefore, an approach for haze density estimation is highly demanded. This paper proposes a model that is known as the haziness degree evaluator to predict haze density from a single image without reference to a corresponding haze-free image. The proposed model quantifies haze density by optimizing an objective function comprising hazerelevant features that result from correlation and computation analysis.