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An Integrated Color Halftone Method for Noise Reduction

机译:集成彩色半色调降低噪声的方法

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摘要

Color halftoning is a method for representing continuous tone color images with limited colors. To implement halftone, error diffusion is one of the most popular algorithms due to its high-performance results. In the conventional error diffusion, the fixed thresholds and filter weights are used. In the process, many artifacts are introduced in the halftone images as side effects. With the color aspect, each of the three color planes is independently calculated during the process of traditional error diffusion. However, the pattern of dots formed independently by combining the dots of each of color planes is often not visually pleasing because no effort is made to insure that the dots of each of the different color planes are ideally distributed relative to the dots of the other color planes. In this paper, we present an integrated error diffusion algorithm in which variable filter weights, threshold matrix, serpentine scan path and multi-color halftoning are used to reduce the noises generated during the halftone process. Our experimental results showed that worm-like artifacts, structural artifacts and start-up artifacts are successfully decreased and the color halftoned images are more comfortable to the human visual system.
机译:彩色半色调是一种用有限的颜色表示连续色调彩色图像的方法。要实现半色调,由于其高性能的结果,误差扩散是最受欢迎的算法之一。在常规的误差扩散中,使用固定的阈值和滤波器权重。在此过程中,许多伪像被引入半色调图像中作为副作用。在颜色方面,在传统误差扩散过程中,三个颜色平面中的每一个都是独立计算的。然而,通过组合每个色平面的点而独立形成的点的图案通常在视觉上不令人满意,因为没有做出努力来确保每个不同色平面的点相对于另一种颜色的点理想地分布。飞机。在本文中,我们提出了一种集成的误差扩散算法,其中使用可变的滤波器权重,阈值矩阵,蛇形扫描路径和多色半色调来减少半色调过程中产生的噪声。我们的实验结果表明,成功地减少了蠕虫状伪像,结构伪像和启动伪像,并且彩色半色调图像更适合人类视觉系统。

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