基于图像阶调与人眼视觉模型的彩色误差扩散网目调方法

Color Error Diffusion Halftoning Method Based on Image Tone and Human Visual System

在彩色误差扩散网目调处理过程中,各色通道不同的误差滤波器设计将直接影响彩色网目调图像的质量。本文对基于阶调的误差扩散方法以及人眼视觉特性进行了分析研究,应用亮度和色度人眼视觉模型对误差扩散过程中的滤波器系数和阈值进行优化,实现了基于图像阶调与人眼视觉模型的彩色误差扩散网目调方法。实验结果表明,该方法能够有效地减少彩色网目调图像的人工纹理,并显著提高再现彩色图像的色彩还原精度。

In the process of color error diffusion halftoning, the quality of the color halftoning image will be affected directly by the design of the error diffusion filter with different color channels. This paper studied the method of error diffusion based on tone and the human visual system（HVS）, optimized the filter coefficient and the threshold by applying the luminance and chrominance HVS, and the color error diffusion halftoning method based on the image tone and HVS had been received. The results showed that this method can reduce the artifacts in color halftoning images effectively and improve the accuracy of color rendition.