Model and quality assessment of single image dehazing
Jessica Y. El Khoury · HAL (Le Centre pour la Communication Scientifique Directe) · 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 images. Moreover, with the multiple existing dehazing algorithms, it is mandatory to evaluate and compare their performance. Indeed, only limited investigations have been performed on the quality of dehazing in particular on the fidelity of the recovered material. Thus, we propose to evaluate the quality of dehazed images. To this aim, a color and a multispectral hazy image databases have been conceived. These databases represent with their ground truth clear image, an adequate tool to deal with dehazing quality in terms of objective and subjective assessment.