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Color Halftone Descreening based on Color Sigma Filters

机译:基于彩色西格玛滤镜的彩色半色调网版

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摘要

Most commercially printed images are halftoned using a screening process. In order to reproduce printed documents containing images, one usually performs descreening or inverse halftoning to avoid possible moire patterns. There exists a variety of gray scale halftone descreening techniques in the literature. However, color halftone descreening is still an ongoing research topic. In this paper, we present two descreening approaches: suboptimal FIR filter and a two-stage color sigma filter. The suboptimal FIR descreening filter offers an efficient descreening approach for gray scale halftoned images. In the mean time, a color halftone descreening technique based on the color sigma filter does not assume any a priori knowledge about the halftoning process, making it applicable to any color halftone image. Similar to the anisotropic diffusion algorithm and total variation minimization techniques designed for gray scale images, the color sigma filter is an O(N) algorithm which can smooth out variation within each region and preserve edge information in the RGB color space. When combined with halftone segmentation techniques, a complete document processing algorithm for gray-scale and color documents can be created.
机译:大多数商业印刷的图像都是使用筛选过程进行半色调处理的。为了再现包含图像的打印文档,通常会进行脱网或反半色调以避免可能的波纹图案。文献中存在各种灰度半色调网版去除技术。然而,彩色半色调的脱网仍然是一个持续的研究主题。在本文中,我们提出了两种去网纹方法:次优FIR滤镜和两级彩色sigma滤镜。次优FIR去网纹滤波器为灰度半色调图像提供了一种有效的去网纹方法。同时,基于彩色西格玛滤镜的彩色半色调去网技术不假定任何有关半色调处理的先验知识,因此可应用于任何彩色半色调图像。类似于为灰度图像设计的各向异性扩散算法和总变化最小化技术,颜色sigma滤镜是一种O(N)算法,可以平滑每个区域内的变化并在RGB颜色空间中保留边缘信息。与半色调分割技术结合使用时,可以创建用于灰度和彩色文档的完整文档处理算法。

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