摘要
针对传统图像增强算法的缺陷,提出了一种基于小波分析和模糊理论的图像增强算法,该算法先对原始图像进行小波变换得到图像的高频和低频小波系数,再定义新的模糊隶属度函数对低频系数进行模糊增强,对不同方向上的高频系数进行小波阈值去噪,通过小波重构得到增强后的图像,所有算法通过Matlab编程验证,能有效的增强图像,改善图像的视觉效果.实验结果表明,算法是可行有效的.
Focused on the limitation of traditional image enhancement algorithm, proposed an image enhancement algorithm based on wavelet transform and fuzzy set theory. Firstly, wavelet transform is used to decompose the original image.Secondly, a new membership function of fuzzy was defined and the low frequency coefficient was enhanced by fuzzy enhancement transformation, the high frequency coefficients of different directions was enhanced by wavelet threshold de-noising.Finally, the inverse wavelet transform was applied to restructure image. All algorithms are realized in Matlab. It＇s can enhance the image effectively and improve image visual effect. The experimental results demonstrate that the algorithm is feasible and effective.
出处
《计算机系统应用》
2013年第9期191-194,190,共5页
Computer Systems & Applications
基金
国家科技支撑计划(2007BAG06B06)
重庆大学自然科学青年基金
关键词
模糊理论
小波变换
阈值去噪
隶属函数
图像增强
fuzzy set theory
wavelet transform
threshold de-noising
neighborhood function
image enhancement
