Image Processing and Digital Typography

本研究从生产的几个方面进行了研究 电脑的文件。 中心焦点是如何在 哪些字符用于离散设备（如CRT） 屏幕、激光打印机和数码照排机。 图像处理技术，如数字滤波和 频谱分析沿着递增扫描 转换算法来选择要旋转的像素 代表一个特定的角色。 这些技术可以 产生用于彩色和灰度CRT的灰度字体， 用于打印机和排字机的二进制字体。 该研究试图 确定哪些数字滤波器，并使用这些参数， 产生最清晰的字体。 由此产生的算法可以是 在打印机或排版系统中用于真实的时间扫描 从轮廓转换字符，允许在 可根据需要生产无限数量的尺寸和方向 从有限的轮廓集合中。 研究的第二部分试图分析这些图像 在文本中呈现的各种图像处理模型， 人类视觉的最初阶段。 这样做的目的是应用 类似的数字滤波器的字符的生产， 被认为是由人类视觉系统应用的。 这反过来 可能会更好地理解选择， 由字体设计师和扫描转换算法制作， 提高计算机输出的清晰度和速度。

This research studies several aspects of the production documents by computers. The central focus is on the manner in which characters are represented for discrete devices such as CRT screens, laser printers, and digital phototypsetters. Image processing techniques such as digital filtering and spectral analysis are applied along with incremental scan conversion algorithms to select the pixels which are to be turned on in representing a given character. These techniques can produce both gray scale fonts for color and gray scale CRT's and binary fonts for printers and typesetters. The study attempts to ascertain which digital filters, and with that parameters, produce the most legible type. The resulting algorithms could be used in printers or composition systems for real time scan conversion of characters from outlines, permitting type in an infinite number of sizes and orientation to be produced on demand from a finite collection of outlines. A second part of the study attempts to analyze the images present in text in terms of various image processing models of the initial stages of human vision. The aim of this is to apply similar digital filters to the production of characters as is presumed to be applied by the human visual system. This, in turn may point to greater understanding of choices which should be made by font designers and by scan conversion algorithms to improve the legibility and speed of computerized output.