IEEE Trans Vis Comput Graph. 2018 Jul;24(7):2129-2139. doi: 10.1109/TVCG.2017.2711614. Epub 2017 Jun 2.
Retrieving salient structure from textured images is an important but difficult problem in computer vision because texture, which can be irregular, anisotropic, non-uniform and complex, shares many of the same properties as structure. Observing that salient structure in a textured image should be piece-wise smooth, we present a method to retrieve such structures using an minimization of a modified form of the relative total variation metric. Thanks to the characteristics shared by texture and small structures, our method is effective at retrieving structure based on scale as well. Our method outperforms state-of-art methods in texture removal as well as scale-space filtering. We also demonstrate our method's ability in other applications such as edge detection, clip art compression artifact removal, and inverse half-toning.
从纹理图像中提取显著结构是计算机视觉中的一个重要而困难的问题，因为纹理可能是不规则的、各向异性的、不均匀的和复杂的，它与结构有许多相同的属性。我们观察到纹理图像中的显著结构应该是分段平滑的，因此我们提出了一种使用相对总变分度量的修正形式的最小化来提取这种结构的方法。由于纹理和小结构的特征共享，我们的方法在基于尺度的结构提取方面也很有效。与纹理去除和尺度空间滤波的最先进方法相比，我们的方法表现出色。我们还展示了我们的方法在其他应用中的能力，如边缘检测、剪贴画压缩伪影去除和逆半色调化。
