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.
出处
《中国西部科技》
2013年第2期38-40,共3页
Science and Technology of West China
关键词
颜色量化
视觉特性
自适应
Color Quantization
Visual Characteristic
Self-Adaptive
