>> 自然科学版期刊 >> 2014年05期 >> 正文
低照度图像的分段非线性化处理算法
供稿: 杨桦;王玉华;闫陈静 时间: 2018-11-19 次数:

作者:杨桦王玉华闫陈静

作者单位:北京交通大学计算机与信息技术学院开封大学信息工程学院;河南工业大学信息科学与工程学院

摘要:为增强低照度图像,在考虑人视觉分辨力的基础上,对图像固有的信息使用图像前景像素值与背景像素值的灰度值之差的绝对值作为图像的对比度,通过均衡化因子,用非线性均衡化方法把隐藏在低照度图像中的信息提取出来.该方法在对图像灰度谱分段非线性化时,通过优化补偿因子,提高其补偿迭代速度,快速获得所需要的图像.

基金:国家自然科学基金面上项目(61272352);

关键词:分段;非线性化;优化补偿;低照度;

DOI:10.16186/j.cnki.1673-9787.2014.05.022

分类号:TP391.41

Abstract:There is often a lot of important information in the low illumination images of a video surveillance system. In order to obtain the required information from low illumination images, this paper improved the quality of low illumination images. Considering the human visual resolution and enhancing the low illumination image, the hidden information from the low illumination image was extracted by using the method of nonlinear equalization, the absolute value of the difference between the image foreground pixel gray value and the background pixel gray value, and the balance factors. This method can improve the compensation iterative speed to quickly obtain the image needed by optimizing the compensation factor in the course of the piecewise nonlinearity on an image gray spectrum.

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