摘要
在小波域上用模糊增强算法实现图像的增强,这是涉足较少的一个领域,以前基本上都是分开研究图像的增强算法。在小波域上增强图像,小波基的选择是很重要的一个问题。给出了选择小波基的标准,针对本算法,使用了相对较好的bior4.4小波基,对模糊增强算法,在传统的模糊增强算法基础上,提出了一种改进算法。它主要是对隶属度函数的修改,改进后的隶属度函数取值范围更广泛,适应性更强。所有的算法都经过了Matlab编程,实验表明,增强以后的图像能够显示更多的细节,图像变得更加清晰,可以得出本算法基本上是成功的。
In this paper,it introduce a new algorithm which uses fuzzy sets to strengthen the image in the wavelet domain.Before this algorithm,lots of algorithms about image enhancement were studied,but they are only in one field.It is important to choose a great wavelet function.It gives somes principles for choosing wavelet function.It use outstanding bior4.4 wavelet function in the paper.Compared with traditional fuzzy enhancement,it gives an improved algorithm.Through revising membership function,it can be suitable for more images.All algorithms are realized in Matlab.The experiment proves that the strengthed image shows more details and becomes more clear.So,it is successful for the image enhancement.
出处
《微处理机》
2010年第2期71-74,共4页
Microprocessors
关键词
小波变换
模糊增强
图像增强
隶属度函数
Wavelet transform
Fuzzy enhancement
Image enhancement
Membership function
