Additional to the original methods of digital halftoning, classification and modern digital halftone techniques also included in this paper.
除数字半色调起源外，文章也涉及数字半色调的分类和现代数字半色调技术。
Owing to processing result relying on choice of image scanning path, a new halftoning method of context-based space filling curves is proposed.
由于图像处理过程中扫描路径的选取不同直接影响半色调图像的质量。为此，提出了一种基于上下文相关的曲线填充半色调方法。
Digital halftoning is one of the key technologies of the RIP software, directly determine output images quality, so its position in the printing sys.
数字半调技术是RIP软件中关键技术之一，直接影响打印输出效果，在打印系统中占有重要的地位。
For the dot-overlap reduction problem occurred when halftone image is printed, a new dot-overlap printer model based on digital halftoning is proposed.
针对目前打印机点增益减弱问题，本文在数字半调技术的基础上建立了一种改进的点增益打印机模型。
To efficiently remove the limit cycles in dark region of an error-diffused halftone image, an inverse halftoning algorithm based on human visual system is proposed.
针对误差分散半调图在黑灰区域的“有界循环”现象，提出了一种基于人眼视觉系统的逆半调算法。
The algorithm efficiently improves the transition area between AM and FM halftoning. Besides, the precision of the output image was realized on low precision equipment.
利用了调幅、调频加网各自的优势，改善了调幅与调频半色调之间的过渡，实现了在较低分辨率的设备上得出高精度的输出图像。
Digital halftoning is one of the key technologies of the RIP software, directly determine output images quality, so its position in the printing system is very important.
数字半调技术是RIP软件中关键技术之一，直接影响打印输出效果，在打印系统中占有重要的地位。
After discussing the advantages and disadvantages of the current digital halftone algorithms, this thesis studies digital halftoning technique mainly aimed at gray image.
在已有数字半色调技术基础上，以灰度图像为研究对象，对该技术进行了进一步的研究。
The green noise halftoning have these blue noise advantages, besides, it can be used in the harder condition, so the green noise have more halftone robustness than the blue noise.
绿噪声半调技术具有蓝噪声的优点，同时在算法的健壮性方面有很大的提高。
The green noise halftoning have these blue noise advantages, besides, it can be used in the harder condition, so the green noise have more halftone robustness than the blue noise.
绿噪声半调技术具有蓝噪声的优点，同时在算法的健壮性方面有很大的提高。
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