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Texture enhancement for improving single-image super-resolution performance

机译:纹理增强功能可改善单图像超分辨率性能

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摘要

Although various single-image super-resolution algorithms have been developed to increase image resolution, they still do not provide adequate performance in the texture region due to the lack of fine textures in the processed image. In this paper, we present a novel texture enhancement strategy in order to improve the super-resolution performance in the texture region. For texture enhancement, we extract a low-resolution texture layer from an input image and generate a high-resolution texture layer by applying the proposed texture synthesis algorithm. A texture enhanced high-resolution image is then obtained by properly combining the generated high-resolution texture layer with an image obtained by using an existing single-image super-resolution algorithm. Experimental results show that the proposed texture enhancement strategy provides sharper and more natural looking textures compared with the existing super-resolution algorithms. (C) 2016 Elsevier B.V. All rights reserved.
机译:尽管已经开发了各种单图像超分辨率算法来提高图像分辨率,但是由于在处理后的图像中缺少精细纹理,因此它们仍无法在纹理区域中提供足够的性能。在本文中,我们提出了一种新颖的纹理增强策略,以改善纹理区域中的超分辨率性能。对于纹理增强,我们从输入图像中提取低分辨率纹理层,并通过应用所提出的纹理合成算法来生成高分辨率纹理层。然后,通过将生成的高分辨率纹理层与通过使用现有的单图像超分辨率算法获得的图像进行适当组合,可以获得纹理增强的高分辨率图像。实验结果表明,与现有的超分辨率算法相比,提出的纹理增强策略提供了更清晰,更自然的纹理。 (C)2016 Elsevier B.V.保留所有权利。

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