基于打印机和视觉模型的阶调误差扩散算法的研究

Printer and HVS Model Based Halftoning with Tone-Dependent Error Diffusion

  • 摘要: 提出了一种基于打印机模型和视觉模型的阶调误差扩散算法。这种基于模型的半色调方法是利用打印机的特征和人类的视觉特性使打印图像的质量达到最佳。为了保证根据阶调不同获得最优矩阵,使用基于人眼视觉模型的误差算法对半色调结果进行评价。

     

    Abstract: A printer model and human visual model based method on tone-dependent error diffusion(TDED) is proposed.First the printer model and HVS(human visual system) used in halftoning algorithm are analyzed.And based on the Floyd-Steinberg error diffusion algorithm,the tone-dependent weights matrix is trained on the different tones using an error within a human visual system.In the experiment,the printer is used to test the result and compare the quality of the halftone image created by the new algorithm,and both them show very good halftoning quality.

     

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