一种改进的基于蓝噪声的误差分散算法

An Improved Error Diffusion Algorithm Based on Blue Noise

传统的误差分散算法大大促进了数字半调技术的发展。但由于该算法采用类似扫描仪的处理路线,简单的误差分散核,固定的阈值,并且忽略了关键灰度、点增益、图像色调,很容易出现比较明显的人工纹理。论文提出了一种改进的基于蓝噪声的误差分散算法。该算法采用可变的处理路线,多灰度误差分散核,并且根据图像色调、点增益自动调整量化阈值和关键灰度的误差分散系数,达到了较好的视觉效果。

The traditional error diffusion algorithm has greatly accelerated the halftone development.But this algorithm adopts the procession line like the scan,simple error diffusion kernel,constant value,and ignores the key gray levels, dot gains,image tone.These can lead to spacious artificial texture.An improved method based on blue noise is introduced in this paper.The improved method adopts Zigzag line,multilevel gray error diffusion kernel,adjusts the threshold according to the image tone and dot gains and modulates the error diffusion coefficients in key gray levels.This results are in the good visual effect.