Computer Science – Computer Vision and Pattern Recognition
Scientific paper
2006-09-04
Computer Science
Computer Vision and Pattern Recognition
10 pages, 11 figures
Scientific paper
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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