基于局部方差的数字媒体图像模糊增强方法  

Fuzzy Enhancement Method of Digital Media Image Based on Local Variance

作　　者：张晓霞 ZHANG Xiao-xia(Fuzhou Software Technical Vocational College,Fuzhou 350002,China)

机构地区：[1]福州软件职业技术学院,福建福州350002

出　　处：《内蒙古民族大学学报（自然科学版）》2023年第4期322-328,共7页Journal of Inner Mongolia Minzu University：Natural Sciences

基　　金：福建省中青年教师教育科研项目(职业院校专项)(JZ180665)。

摘　　要：数字媒体图像的增强,受到图像特征提取算法的影响,导致增强处理后图像熵值较低。因此,提出基于局部方差的数字媒体图像模糊增强方法。运用粗糙集理论处理数字媒体图像,去除图像内噪声。依托于局部方差技术结合变差函数,设计局部方差特征提取算法。通过变换图像模糊域映射图像纹理特征,再利用隶属度函数实现图像自适应模糊增强处理。实验结果表明:所提出的增强方法应用效果与CTGT方法、TFPSO方法相比,图像熵值提升了26.72%和23.63%。The enhancement of digital media image is affected by the image feature extraction algorithm,resulting in low image entropy.Therefore,a digital media image fuzzy enhancement method based on local variance was proposed.The rough set theory was used to process digital media images to remove the noise in the images.Based on local variance technology and variation function,a local variance feature extraction algorithm was de⁃signed.The image texture features were mapped by transforming the image fuzzy domain,and then the image adaptive fuzzy enhancement was realized by using the membership function.The experimental results show that the application effect of the proposed enhancement method has improved image entropy by 26.72%and 23.63%compared to CTGT method and TFPSO method,respectively.

关 键 词：局部方差 数字媒体图像 模糊增强 对比度增强 纹理特征提取 粗糙集 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]