Specular reflections are undesirable phenomena that can impair overall perception and subsequent image analysis. Inthis paper, we propose a modern solution to this problem, based on the latest achievements in this field. The proposedmethod includes three main steps: image enhancement, detection of specular reflections, and reconstruction of damagedareas. To enhance and equalize the brightness characteristics of the image, we use the alpha-rooting method with anadaptive choice of the optimal parameter alpha. To detect specular reflections, we apply morphological filtering in theHSV color space. At the final stage, there is a reconstruction of damaged areas using adversarial neural networks. Thiscombination makes it possible to quickly and effectively detect and remove specular reflections, which is confirmed by aseries of experiments given by the experimental section of this work.
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