Low-level vision problems, such as single image haze removal and single image rain
removal, usually restore a clear image from an input image using a paired dataset. However …

Image dehazing is a prior process to perform advanced computer vision tasks such as
certain target detection, and the degree of haze residue directly determines the performance …

Currently, deep-learning-based image dehazing methods occupy a dominant position in
image dehazing applications. Although many complicated dehazing models have achieved …

Dehazing involves finding the solution to an ill-posed problem. Improvement to the
traditional prior based dehazing method has been introduced here. Considering the pivotal …

Clear images are crucial for the optimal performance of various high-level vision-based
tasks. However, some inevitable causes, such as bad weather and underwater conditions …

In this paper, we present a new image dehazing method via pyramid exposure fusion.
Instead of relying on the accuracies of global atmospheric light and trans-mission separately …