摘要
本文通过分析不同的图像预处理算法的特点,根据数字视频判读系统中图像预处理的需求,探讨了图像预处理中选取算法的原则和方法。提出了一种用自适应中值滤波降低噪声,并基于人眼视觉响应的非线性特性的局部对比度增强算法。该算法自适应性强,不但能提高图像的对比度,而且对弱小目标和图像细节有很好的增强性能,十分适合对数字视频判读的图像进行自动增强,提高判读系统的性能。
This paper discusses the principle of image preprocessing of digital video interpretation according to the requirement of digital video interpretation on the basis of the analysis of characteristics of image preprocessing algorithms. And a novel algorithm is provided that adopts local contrast enhancement algorithm based on the nonlinear characteristic of eye vision response following median filter. It has strong adaptability, and it not only improves the contrast of image, but also enhances the dim target and detail of image efficiently. So it is very fit for the auto image enhancement of digital video interpretation, and improves the performance of interpretation system.
出处
《光电工程》
EI
CAS
CSCD
北大核心
2006年第10期141-144,共4页
Opto-Electronic Engineering
关键词
数字视频判读
图像预处理
对比度增强
目标跟踪
Digital video interpretation
Image preprocessing
Contrast enhancement
Target tracking
