基于自适应滤波和MBVC的矢量误差扩散法

Vector error diffusion method based on Minimal Brightness Variation Criterion and adaptive filtering

针对彩色图像最小亮度分布处理方法中存在的由于使用固定误差扩散系数带来的方向性纹理缺陷问题,提出了一种基于自适应滤波的最小亮度分布处理改进算法。该算法通过自适应的方法,在处理过程中随图像特性动态调节扩散系数,使得处理结果更加逼近原始图像。使用最小亮度分布的办法,减小因各颜色之间亮度不同所带来的彩色噪声。实验结果表明,该算法处理输出图像更加柔和,在图像渐变区域没有明显纹理,效果更好。

This paper presents a color image error diffusion method based on MBVC with adaptive filtering. It points the problem that exists in the MBVC method using fixed error diffusion coefficients leads to“directional artificial texture”. This method intelligently amends filter coefficients by using adaptive way. The Minimal Brightness Variation Criterion is dealt to get halftone results. It can reduce color noise because of the difference between each color. The experimental results show that this algorithm can get better visual quality than the previously published known results.