LaBRI, Bordeaux I Univ., Talence.
IEEE Trans Image Process. 1997;6(7):1048-52. doi: 10.1109/83.597280.
Color image quantization, the process of reducing the number of colors in a digital color image, has been widely studied for the last fifteen years. The different steps of clustering methods are studied. The methods are compared step by step and some optimizations of the algorithms and data structures are given. A new color space called H1H2H3 is introduced, which improves the quantization heuristics. A low-cost quantization scheme is proposed.
彩色图像量化，即将数字彩色图像中的颜色数量减少的过程，在过去的十五年中得到了广泛的研究。本文研究了聚类方法的不同步骤。逐步比较了这些方法，并对算法和数据结构进行了一些优化。引入了一种新的颜色空间 H1H2H3，它改进了量化启发式方法。提出了一种低成本的量化方案。
