基于累计平均和视觉计算的数字半调算法

A new digital halftone method based on accumulation average and vision computation

简述了数字半调的理论基础，分析了以往的几种基本算法，提出了一种基于人眼积分特性的累计平均算法，并以视觉计算为基础对以往的误差扩散算法在扩散系数上作了修正．该算法较之以往的算法并行性高，处理简单，速度快，并达到了较好的处理效果．

A brief introduction to the theoretical foundation and an analysis of the algorithms available for digital halftone are given. A new method is proposed based on the accumulation average and the diffusion coefficient of the traditional error diffusion algorithm is modified based on vision computation. In comparison with other methods, this method is easy to implement in parallel at high speed with satisfactory results.