Abstract
Haze removal is an important image restoration technology that aims to remove annoying haze particles from images. However, the efficacies of traditional dehazing methods are easily hindered by insufficient estimation of haze thickness, and thus cannot effectively provide satisfactory haze removal results. In this paper, we propose an edge collapse-based dehazing algorithm by which to dynamically repair the transmission map and, thereby, achieve satisfactory visibility restoration. Experimental results using qualitative and quantitative evaluations demonstrate that the haze removal ability of the proposed edge collapse-based dehazing method is significantly superior to those of other state-of-the-art methods.
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