Recognition of Dithering Patterns for Ordered Dither Technique

Chyi-Hwa Chu
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Abstract

Most of applications for halftoning images are designed for a particular halftoning method. Under an automatic system, a pre-processor is needed to recognize the halftoning images and then a suitable technique can be applied to them. In this paper, a novel technique is proposed to recognize the visual patterns by order dither technique. It takes the properties of pixel ordering in the halftoning patterns by dither matrices. Our experiments indicate that sixty halftoning images by order dither technique and error diffusion with variant parameters can be correctly classified without manual operations.
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有序抖动技术中的抖动模式识别
大多数半色调图像应用程序都是为特定的半色调方法而设计的。在自动调色系统中,需要预处理器对半调图像进行识别,然后采用相应的技术对半调图像进行处理。本文提出了一种新的视觉模式识别技术——序抖动技术。它通过抖动矩阵获取半色调模式中像素的排序特性。实验结果表明,在不需要人工操作的情况下,采用阶抖动和误差扩散技术对60幅半调图像进行了正确的分类。
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