The classification of halftone image is a key step in the process of inverse halftone.
半调图像分类在逆半调过程中是非常关键的步骤。
The logical digital halftone image quality evaluation index is the key of image reproduction technical.
合理的数字半色调图像质量评价指标是图像再现技术评价的关键。
A new watermarking technique based on HVS and error diffusion was introduced, which can embed watermarking in halftone image.
本文提出了一种半色调处理的算法，它结合了误差分散技术及半色调模对应方法来生成半色调图像。
An optimum threshold is selected by maximizing the correlation between the original halftone image and the thresholded bi-level image.
该算法以原始图像与分割后图像的相关系数最大为准则，选取最优阈值对磨粒图像进行二值化。
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。
On the basis of which the two dimentional FFT technology is introduced to analyse the quality of error between the halftone image and the original image.
在此基础上，引入二维FFT技术，对半色调误差图象的质量进行了分析研究。
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。
Halftone image areas in the original books cause the most reproduction problems, as there is the potential that moire patterns may form when these image areas are re-screened.
在图文混合彩色原稿上，半色调图像部分引起最多的质量问题，因为，当这些半色调图像区域被进一步处理或重新加网时，有可能形成莫尔纹。
For the method, the threshold value matrix of a second screen with a different screen Angle and width is read out and compared with the color values of a halftone image presented.
对于该方法，将具有不同加网角度和加网线数的第二网屏的阈值矩阵读出并且与所提供的半色调图像的色值比较。
This method USES a threshold t to choose the blocks of halftone image to imbed information, which imbeds data as many as possible under the guarantee of the quality of the halftone image.
该方法利用了阈值t来控制水印的嵌入位置，在保证图像质量的前提下，嵌入尽可能多的数据。
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。
You'll learn how to create halftone patterns and creatively cut up an image of a model holding a boombox.
你将了解如何创建色调模式，创造性地抠出一个模特提着音响的图片。
You'll learn how to create halftone patterns and creatively cut up an image of a model holding a boombox.
你将了解如何创建色调模式，创造性地抠出一个模特提着音响的图片。
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