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.
作者
兰小艳
Lan Xiaoyan(Shanxi Vocational College of Engineering,Taiyuan,Shanxi 030009,China)
出处
《计算机时代》
2023年第8期57-59,64,共4页
Computer Era
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
non-down-sampling shearlet transform
fuzzy support vector machine(FSVM)
adaptive threshold
image denoising
