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Image Dehazing Based on Local and Non-Local Features
2022
Fractal and Fractional
Image dehazing is a traditional task, yet it still presents arduous problems, especially in the removal of haze from the texture and edge information of an image. The state-of-the-art dehazing methods may result in the loss of some visual informative details and a decrease in visual quality. To improve dehazing quality, a novel dehazing model is proposed, based on a fractional derivative and data-driven regularization terms. In this model, the contrast constrained adaptive histogram
doi:10.3390/fractalfract6050262
fatcat:u2d5gqij7zev7dqxhifvo4witi