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Color Halftone Descreening based on Color Sigma Filters

机译:基于颜色Sigma过滤器的颜色半色调描述

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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:使用筛选过程中半色调的大多数商业上印刷图像。为了再现包含图像的印刷文档,通常执行描述或反向半色调以避免可能的莫尔模式。在文献中存在各种灰度半色调描述技术。但是,颜色半色调描述仍然是一个正在进行的研究主题。在本文中,我们介绍了两种描述方法:次优FIR滤波器和两级颜色Sigma滤波器。次优消防描述过滤器为灰度半色调图像提供了一种有效的描述方法。同时,基于颜色Sigma滤波器的颜色半色调描述技术不假设关于半色调过程的先验知识,使其适用于任何颜色半色调图像。类似于各向异性扩散算法和为灰度图像设计的总变化最小化技术,颜色Sigma滤波器是一个O(n)算法,其可以在每个区域内平滑变化并在RGB颜色空间中保留边缘信息。当与半色调分段技术组合时,可以创建一个完整的文档处理算法和灰度和颜色文档。

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