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。
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。
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。
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