Xu Panpan, Wang Wencheng
IEEE Trans Image Process. 2019 Sep;28(9):4354-4363. doi: 10.1109/TIP.2019.2904847. Epub 2019 Mar 13.
Texture filtering seeks to smooth out textured details in order to present structures prominently. To filter out multi-scale textured details while preserving structures, some methods propose to adjust the size of the filtering windows by handling the pixels near structures with small windows and the other pixels with large windows. Unfortunately, their adjustment measures are not very effective in treating complex situations. They may handle the pixels inside small structures with large windows, which overly smooths them, or they may be incapable of smoothing out large-scale textures. With regard to this, in this paper, we present a novel method that adjusts the window size for a pixel by checking similar pixels in its neighborhood. In general, pixels nearer structures have fewer similar pixels in their neighborhoods than the pixels that are farther away from structures. Thus, our adjustment can adaptively adjust window sizes by the distances from pixels to structures, which improves the potential to treat complex situations. The experimental results show that we can well filter out very large-scale textures while preserving small structures with high quality in a manner superior to the state-of-the-art methods. In addition, our method is very simple and efficient, and can be used easily in applications.
纹理滤波旨在平滑纹理细节，以便突出显示结构。为了在保留结构的同时滤除多尺度纹理细节，一些方法建议通过使用小窗口处理靠近结构的像素以及使用大窗口处理其他像素来调整滤波窗口的大小。不幸的是，它们的调整措施在处理复杂情况时不是很有效。它们可能会用大窗口处理小结构内部的像素，从而过度平滑这些像素，或者它们可能无法平滑掉大尺度纹理。关于这一点，在本文中，我们提出了一种新颖的方法，通过检查像素邻域中的相似像素来为该像素调整窗口大小。一般来说，靠近结构的像素在其邻域中比远离结构的像素具有更少的相似像素。因此，我们的调整可以根据像素到结构的距离自适应地调整窗口大小，这提高了处理复杂情况的能力。实验结果表明，我们能够以优于现有方法的方式很好地滤除非常大尺度的纹理，同时高质量地保留小结构。此外，我们的方法非常简单高效，并且可以很容易地应用于实际中。
