Image dehazing is a traditional task, yet it still presents arduous problems, especially in the removal of haze from texture and edge information an image. The state-of-the-art methods may result loss some visual informative details decrease quality. To improve quality, novel model proposed, based on fractional derivative data-driven regularization terms. In this model, contrast constrained ada...

Image dehazing, as a common solution to weather-related degradation, holds great promise for photography, computer vision, and remote sensing applications. Diverse approaches have been proposed throughout decades of development, deep-learning-based methods are currently predominant. Despite excellent performance, such computationally intensive these recent advances amount overkill, because imag...