用于帧缓冲显示的彩色图像量化

Paul S. Heckbert
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引用次数: 218

摘要

描述了彩色图像的自适应、锥形量化算法。这项研究的动机是希望用小帧缓冲显示高质量的彩色图像复制品。它被证明,许多彩色图像通常需要一个帧缓冲有15位每像素可以量化到8位或更少的每像素与小主观退化。在大多数情况下,得到的图像看起来比均匀量化得到的图像要好得多。彩色图像量化任务分为四个阶段:1)对原始图像进行采样进行颜色统计2)根据颜色统计选择颜色图3)将原始颜色映射到颜色图中最近的邻居4)量化并重新绘制原始图像(可选抖动)。描述了阶段2-4的几个算法,并给出了每个算法创建的图像。
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Color image quantization for frame buffer display
Algorithms for adaptive, tapered quantization of color images are described. The research is motivated by the desire to display high-quality reproductions of color images with small frame buffers. It is demonstrated that many color images which would normally require a frame buffer having 15 bits per pixel can be quantized to 8 or fewer bits per pixel with little subjective degradation. In most cases, the resulting images look significantly better than those made with uniform quantization. The color image quantization task is broken into four phases: 1) Sampling the original image for color statistics 2) Choosing a colormap based on the color statistics 3) Mapping original colors to their nearest neighbors in the colormap 4) Quantizing and redrawing the original image (with optional dither). Several algorithms for each of phases 2-4 are described, and images created by each given.
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