基于视觉特性的一种自适应颜色量化算法  

An Self-Adaptive Color Quantization Algorithm Based on Visual Characteristic

作　　者：李明松[1] 阮树骅[1] 陈浩[1] 

机构地区：[1]四川大学计算机学院,四川成都610065

出　　处：《中国西部科技》2013年第2期38-40,共3页Science and Technology of West China

摘　　要：颜色量化是数字图像处理的基本技术之一,传统的量化算法有分割法和聚类法。本文提出了一种结合分割法和聚类法特点的自适应颜色量化算法,实验结果表明,在量化质量上本算法接近K-均值聚类法,但在运行效率上十分接近中位切分法,是一种相对高质高效的颜色量化算法。Color quantization is an important technique of digital image process. There are two main algorithms for color quantization, the cutting algorithm and the clustering algorithm. This paper presented an self-adaptive color quantization algorithm based on visual characteristic of human being. The experiment results showed that the algorithm we proposed has a good visual effect of images which is very close to that of K-mean and a high time processing performance which is very close to that of Mean-cut.

关 键 词：颜色量化 视觉特性 自适应 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]