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W3021165441 abstract "In computer vision, the reflections impair the overall perception of images and introduce undesired interference to high-level image understanding. To date, reflection removal approaches have been developed with advantage of visual quality enhancement. However, the reflection removal for single image is still a challenging task with its performance to be further boosted. During this process, additional visual artifacts such as blocking may also be introduced that degrades subjective quality of images. In this paper, we make the first attempt to eliminate image reflections and artifacts simultaneously within a unified framework. A structure-texture strategy is utilized to decompose the image into structure and texture layers. The proposed model handles reflection removal in both layers and further suppress blocking artifacts in the texture layer. Finally, a fusion process is employed to obtain the result image. Experiments with objective and subjective evaluations validate the superiority of the proposed method, which outperforms several state-of-the-art algorithms." @default.
W3021165441 created "2020-05-13" @default.
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W3021165441 date "2020-08-01" @default.
W3021165441 modified "2023-10-16" @default.
W3021165441 title "Single image reflection removal based on structure-texture layering" @default.
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W3021165441 doi "https://doi.org/10.1016/j.image.2020.115868" @default.
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