基于误差扩散的Dither算法研究与实现

针对使用Matlab实现了基于误差扩散的抖动算法,并使用蛇形路径与动态阀值对其进行了改进,在对图像进行评价时主要的指标使用峰值信噪比,从峰值信噪比可看出动态阀值优于固定阀值,可以推断假设使用更合适的选取动态阈值方法从而得到最优动态阈值,实验结果证明,该方法较好地评价了图像的带噪和模糊情况,在一定情况下可以优化图像的。

Dithering Algorithm Based on Error Diffusion

This paper focuses on the use of matlab serpentine path with dynamic threshold based on error diffusion dithering algorithm and its improved peak signal-to-noise ratio. The peak signal-to-noise ratio is used as the major indi- cator to evaluate the image. A dynamic threshold is better in signal-to-noise ratio than a fixed threshold, and it can be inferred that an appropriate dynamic threshold selection method can obtain optimal dynamic threshold. Experiment shows that our algorithm evaluates the image noise and blurting better, and in some cases can optimize the image.