针对灰度测量图像传统量化方法效率低、变换效果差的问题，根据长期的红外测量图像处理经验，依据测量图像的处理要求和不同工作需求，在充分考虑红外测量图像的灰度分布特性、噪声特点等因素后，提出了三种灰度测量图像快速量化方法。这些方法具有变换效率高、算法简单、实现容易、计算量小、对图像质量适应性强的特点，已经在红外图像处理及分析工作中得到了广泛的应用，取得了良好的效果，显著提高了红外测量图像的灰度量化质量。

To solve the problem of low efficiency and poor conversion effectiveness of traditional quantization methods for gray scale measurement images, three fast quantization methods for gray scale images are proposed according to the actual processing requirements of measurement images and different operation demands. These methods have the features of high conversion efficiency, simple algorithm, easy implementation, small computation amount and strong adaptability to image quality. They have been widely used in the processing and analysis of infrared images and good effectiveness is achieved. Thus, the gray scale quantization quality of infrared images is improved remarkably.