图像去噪与增强中的改进自适应分数阶中值滤波

Improved adaptive fractional median filter in image denoising and enhancement

文章研究了图像去噪与增强的问题.针对传统的图像去噪算法会使图像模糊化的问题,建立一个噪声检测模型和设计一种开关滤波器.对于不同检测点,利用中值滤波设计一种开关滤波进行去噪.去噪后为了得到清晰的图像边缘,尽可能多地保留图像细节,改善去噪后的图像效果,根据图像局部信息特征,利用分数阶微分滤波,设计一种自适应图像增强算法.通过多次对比实验分析,结果表明该文算法较其它文献在图像去噪和增强方面有提高.

In this paper,the problem of image denoising and enhancement is studied.Aiming at the problem that traditional image denoising algorithm will blur the image,a noise detection model is established and a switch filter is designed.For different detection points,a switch filter is designed by using median filter for denoising.After denoising,in order to get clear image edge,retain image details as much as possible and improve the image effect after denoising,an adaptive image enhancement algorithm is designed by using fractional differential filtering according to the local feature information of the image.After several comparative experiments,the results show that the algorithm in this paper is better than other literature in image denoising and enhancement.