Existing texture filtering techniques acquiesce in the removal of all undesired background texture patterns simultaneously, and lead to the disappearance of small-scale foreground structures. Differently, this paper considers both multi-scale structures and specified texture patterns within an image as significant image contents, and presents a content-aware texture filtering approach via an easy-to-use interactive interface, named intuitive single click. The user’s effort on content-aware texture filtering is reduced to only locating a single click, where it is intuitively considered as one type of texture patterns. This simple interface is made possible by first generating three-scale intermediate filtered images (i.e., high, medium and low) and then performing breadth-first search (BFS) to identify one or more texture regions. Specifically, we utilize BFS to purify image edges in the medium-scale filtered image, on top of which a mask representing texture and non-texture regions is abstracted through the intuitive single-click texture locating and BFS. The mask is applied to effectively maintain multi-scale structures in the low-scale filtered image, and guides to fully smooth textures in the high-scale filtered image. Finally, a clean image is yielded by simply synthesizing the results of two mask operations in the low- and high-scale filtered images. We illustrate by extensive experiments that our approach advances the state-of-the-arts in terms of both the image cleanness and content-preserving ability. Our code is publicly available.

现有的纹理过滤技术默认同时去除所有不需要的背景纹理图案，并导致小尺度前景结构的消失。不同的是，本文将图像中的多尺度结构和指定的纹理图案都视为重要的图像内容，并通过一个易于使用的交互式界面，即直观的单击，提出了一种内容感知纹理过滤方法。. 用户对内容感知纹理过滤的努力减少到仅定位一次单击，在那里它被直观地视为一种类型的纹理图案。通过首先生成三尺度中间滤波图像（即高、中和低），然后执行广度优先搜索 (BFS) 以识别一个或多个纹理区域，使这个简单的界面成为可能。具体来说，我们利用 BFS 来净化中等尺度滤波图像中的图像边缘，在其上通过直观的单击纹理定位和 BFS 抽象出表示纹理和非纹理区域的掩码。应用蒙版以有效保持低尺度滤波图像中的多尺度结构，并引导高尺度滤波图像中的纹理完全平滑。最后，通过简单地合成低尺度和高尺度滤波图像中的两个掩模操作的结果，可以产生干净的图像。我们通过广泛的实验说明，我们的方法在图像清洁度和内容保留能力方面都取得了最新进展。我们的代码是公开的。