摘要
小波分析是目前国际上最新的时间频率分析工具,是信号去噪的强有力处理工具.小波变换可以将交织在一起的混合信号分解成不同频率的块信号.多小波所拥有的对称性、正交性、有限支撑等重要特性弥补了单小波的不足.提出了一种新的图像增强方法,该方法以多小波变换为基础,采用多尺度非线性增强技术进行图像增强.实验证明,增强效果良好.
Wavelet analysis is the latest international wide time-frequency analysis tool,which is the most powerful tool for image de-nosing, Through wavelet transform can separate signals into the different distinct block signal which have the same frequency, Multi-wavelet has some very important properties such as orthogonality ,symmetry ,and short support ,which makes up for the shortcoming of scalar wavelet, Propose a new image enhancement method which based on, multi-wavelet transform, Carry on the different enhancement with the change of multi-scale, The results show that the new method can obtains high enhancement effect.
出处
《小型微型计算机系统》
CSCD
北大核心
2007年第7期1259-1261,共3页
Journal of Chinese Computer Systems
基金
国家自然科学基金项目(60372072)资助
国家十五"八六三"计划项目(2001AA1114212)资助
关键词
多小波
图像增强
小波变换
multi-wavelet
image enhancement
wavelet transform
