基于非下采样剪切波变换的FSVM图像去噪算法  

FSVM image denoising algorithm based on non-down-sampling shearlet transform

作　　者：兰小艳 Lan Xiaoyan(Shanxi Vocational College of Engineering,Taiyuan,Shanxi 030009,China)

机构地区：[1]山西工程职业学院,山西太原030009

出　　处：《计算机时代》2023年第8期57-59,64,共4页Computer Era

摘　　要：以非下采样剪切波变换为基础,提出了一种模糊支持向量机图像去噪算法,其中非下采样剪切波变换能够获得噪声图像的高频子带,对高频子带系数进行模糊分类,利用自适应阈值处理含噪子带系数,达到去噪效果。实验结果表明,本文算法在图像去噪方面表现良好。An FSVM image denoising algorithm is proposed based on the non-down-sampling shearlet transform,in which the non-down-sampling shearlet transform can obtain the high-frequency subbands of the noise image.The high-frequency subband coefficients are fuzzy classified and the noisy subband coefficients are processed by adaptive threshold to achieve the denoising effect.The experimental results show that the proposed algorithm performs well in image denoising.

关 键 词：非下采样剪切波变换 模糊支持向量机 自适应阈值 图像去噪 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]