摘要
小波变换的图像增强技术仅能应用于黑白图像,而传统伪彩色图像处理技术不能处理图像中的一些细节信息.基于以上两点,本文提出一种基于小波变换和相调制图像密度伪彩色编码的图像增强处理方法.该方法具有丰富的层次,其算法的清晰度要比传统方法高出10%,这能为处理更高分辨率的黑白图像提供效果更好的伪彩色方案.这种方法可将信息熵率提高70%.
Wavelet transformation based on image enhancement technique is only applicable to black-and-white image,and pseudo-color image processing technology cannot adequately deal with some of the details of the image.In this paper,an enhanced approach of black-and-white image based on wavelet analysis and a new pseudo-color image processing is presented.This method has great rich levels,and its definition of algorithm is 10% higher than traditional methods,which can process high gray resolution image providing selection of the best performing coloring scheme.Rate improvement of information entropy up to 70% has been achieved through the use of this method.
出处
《天津理工大学学报》
2012年第3期71-75,共5页
Journal of Tianjin University of Technology
关键词
小波变换
图像增强
相位调制
伪彩色图像处理
wavelet transformation
image enhancement
phase-modulation
pseudo-color image processing