摘要
为有效解决红外图像的低对比度问题，本文研究红外图像的线性灰度增强算法。该算法首先统计出待处理红外图像的灰度分布直方图，然后按照线性变换的规则，对输入图像的每一个像素的灰度值进行调整，增大图像灰度值的覆盖范围，进而提高图像的对比度。最后在Matlab平台上给出仿真结果。
To solve the problem of low contrast in infrared images, this paper studies a linear gray-scale enhancement algorithm. Firstly, the algorithm counts the gray-distribution histogram of the image to be processed, then modifies gray value of each pixel of the infrared image based on the principles of linear transformation. The contrast of the image is improved by adjusting the coverage of gray-scale, and thus the quality of the image is enhanced. Finally, the results carried out on Matlab is given.
出处
《电光系统》
2011年第4期1-4,共4页
Electronic and Electro-optical Systems
关键词
红外图像
灰度增强
线性变换
直方图
Infrared Image
Gray-enhanced
Linear-transform
Histogram
