… and real-world images, our algorithm shows favorable performance for haze removal. … very
outstanding in haze removal. We can see that our results completely clear the haze, and the …

… and traffic sign recognition, concluded that Retinex can be used for image haze removal. …
to optimize haze removal. [19] uses Retinex and guided filter to extract the edge of lane line, …

… In this article, a novel algorithm is introduced that can remove haze from a degraded single
… of the binary edge map (if z i = 1 , the edge is not deteriorated; otherwise, the edge is …

… Unlike the pixel-based DCP, we present in this paper a DCP based approach of estimating
the … In Section 2, the haze image modeling is presented. Section 3 describes how the scene …

… extraction methods to achieve haze removal. The method based on prior knowledge mainly
combines some statistical characteristics in the image contained haze… image edge extraction …

… field of haze removal and lots of haze removal algorithms based on the DCP algorithm have
… Currently, guided filter is one of the fastest edge-preserving filters. While we can use guided …

… correlation between binocular images to complete the fog removal task. … edge area of the
images. It is observed that Tarel et al.’s method does not effectively remove the fog at the edges …

… edge-modulation (EM) promotes hidden or missing details such as microscopic edges and
textures lost due to haze, … , the reconstructed image after haze-removal generally appears dim …

… for haze removal. The results of the two methods were natural, but the haze removal effect
in … So we use the edge detection with the Canny operator to detect the edge, and define sky …

Abstract—In simple terms, fog is an atmospheric phenomenon which … fog, perception drops
down to less than 1000 m. This happens due to plenty of reasons such as bad weather, haze, …