一种有效去除上采样图像混叠的边缘定向频率滤波器
An effective edge--directed frequency filter for removal of aliasing in upsampled images
摘要：
光栅图像可以有一系列与其光栅结构相关的各种失真。对它们进行上采样实际上可能会产生原始图像的光栅结构，称为混叠。上采样本身也可能将混叠引入到上采样的图像中。所提出的方法尝试使用基于离散快速傅立叶变换的频率滤波器来去除混叠，并且在沿着图像中的边缘放置的某些区域中定向地应用。相对于一些各向异性平滑方法，该算法的目的是选择性地减少只混叠，保持图像细节的清晰度。该方法可以与各种上采样算法一起用作后处理滤波器。实验结果表明，该方法可以提高上采样图像的视觉质量。
英文摘要：
Raster images can have a range of various distortions connected to their raster structure. Upsampling them might in effect substantially yield the raster structure of the original image, known as aliasing. The upsampling itself may introduce aliasing into the upsampled image as well. The presented method attempts to remove the aliasing using frequency filters based on the discrete fast Fourier transform, and applied directionally in certain regions placed along the edges in the image. As opposed to some anisotropic smoothing methods, the presented algorithm aims to selectively reduce only the aliasing, preserving the sharpness of image details. The method can be used as a post--processing filter along with various upsampling algorithms. It was experimentally shown that the method can improve the visual quality of the upsampled images.
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