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Digital halftoning using a blue-noise mask.

机译:使用蓝噪声蒙版进行数字半色调。

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摘要

Many printing devices and displays are bilevel, and, therefore, are not capable of reproducing gray-scale images. Gray-scale images are converted to binary images using halftone processes. The two most widely used halftone processes are ordered dither and error diffusion. Ordered dither is a computationally fast method, but displays periodic artifacts in the halftone image. On the other hand, error diffusion produces high quality halftones, but requires computationally intensive filtering operations.;In this dissertation, a novel digital halftone process is presented, where the halftoning is achieved by a pixelwise comparison of the gray-scale image to an array, the blue-noise mask. The blue-noise mask is a dispersed-dot halftone screen, which combines the speed of ordered dither with the high quality results of error diffusion. This mask is designed so that the halftone image has blue-noise (high-frequency) characteristics in the transform domain. In the image domain, blue-noise characteristics correspond to visually pleasing, isotropic, uncorrelated patterns, without low-frequency graininess. The blue-noise mask is constructed to have unique first-order and second-order properties. When thresholded at any level, for example at A% of the maximum level, exactly A out of every 100 pixels will have a value greater than the threshold value. In addition, the spatial distribution of black-versus-white pixels is arranged in such a manner as to form a blue-noise pattern.;A visual study is also described, where subjects rated halftone images with the same first-order, but different second-order statistics. The purpose of this study was to determine how variations in the second-order statistics of a binary pattern affect its visual appearance. The quality of images halftoned using the new algorithm, and also ordered dither and error diffusion techniques, was measured using psychovisual tests and quantitative criteria. The success of the quantitative criteria, as quality measures for halftones, was assessed by comparing their results with the results of the psychovisual tests. Psychovisual tests indicate that halftoning using a blue-noise mask outperforms ordered dither techniques, and gives comparable results with error diffusion techniques.
机译:许多打印设备和显示器是双层的,因此不能再现灰度图像。使用半色调处理将灰度图像转换为二进制图像。两种最广泛使用的半色调处理是有序抖动和误差扩散。有序抖动是一种计算速度快的方法,但是会在半色调图像中显示周期性的伪像。另一方面,误差扩散会产生高质量的半色调,但需要大量的滤波操作。本论文提出了一种新颖的数字半色调处理,该半色调是通过将灰度图像与阵列进行逐像素比较来实现的。 ,蓝噪声蒙版。蓝噪声蒙版是一个分散的半色调网屏,将有序抖动的速度与错误扩散的高质量结果结合在一起。设计该遮罩以使半色调图像在变换域中具有蓝噪声(高频)特性。在图像域中,蓝噪声特性对应于视觉上令人愉悦的各向同性,不相关的图案,而没有低频颗粒感。蓝噪声蒙版构造为具有唯一的一阶和二阶属性。当以任何级别(例如最大级别的A%)进行阈值设置时,每100个像素中正好A的值将大于阈值。此外,黑白像素的空间分布以形成蓝噪声模式的方式排列。;还描述了一种视觉研究,其中受试者对半色调图像的第一阶相同但不同二阶统计量。这项研究的目的是确定二进制模式的二阶统计量的变化如何影响其视觉外观。使用心理视觉测试和定量标准对使用新算法以及有序抖动和误差扩散技术进行半色调处理的图像质量进行了测量。通过将定量标准的结果与心理视觉测试的结果进行比较,评估了定量标准(作为半色调的质量度量)是否成功。心理视觉测试表明,使用蓝噪声遮罩的半色调性能优于有序抖动技术,并且与误差扩散技术相比,具有可比的结果。

著录项

  • 作者

    Mitsa, Theophano.;

  • 作者单位

    University of Rochester.;

  • 授予单位 University of Rochester.;
  • 学科 Engineering Electronics and Electrical.
  • 学位 Ph.D.
  • 年度 1991
  • 页码 141 p.
  • 总页数 141
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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