1) bivariate shrink threshold
双变量萎缩阈值
1.
Complex wavelet transform and bivariate shrink threshold based image denoising;
基于双树复数小波变换和双变量萎缩阈值图像降噪
2) threshold shrink
阈值萎缩
1.
By using threshold shrink, the paper presents a de-noise method of color images based on wavelet translation, Several experiments confirm its better effects.
针对加了高斯噪声的彩色图象,通过选择合适的小波基使用小波萎缩法的阈值萎缩法进行去噪,取得了相对中值滤波和均值滤波更好的效果。
3) Bivariate threshold function
双变量阈值
1.
According to non-subsampled Contourlet transform and bivariate threshold function,a novel Non-Subsampled Contourlet Transform based on Bivariate threshold function(NSCTBI) for image denoising is proposed.
该文依据非下采样Contourlet分解系数与其父系数之间的相关性,给出非高斯双变量分布,对该模型应用Bayes估值理论推导得到相应的非线性双变量阈值函数,综合非下采样Contourlet分解和双变量阈值函数,提出一种基于双变量阈值的非下采样Contourlet变换图像去噪方法(NSCTBI)。
4) wavelet shrinkage
小波阈值萎缩
1.
In many kinds of wavelet denoising methods,Donoho s wavelet shrinkage is widely used forim agede noising.
在众多的小波去噪方法中,运用最多的是Donoho小波阈值萎缩法。
2.
A novel hybrid denoising model which combines Total Variation and wavelet shrinkage basing on function space is pro- posed in this paper.
本文在泛函空间理论基础上提出了一种整体变分与小波阈值萎缩复合的图像去噪模型。
5) BayesShrink thresholding
贝叶斯萎缩阈值
6) wavelet threshold shrinkage algorithm
小波阈值萎缩算法
补充资料：变量与变量值
可变的数量标志和所有的统计指标称作变量。变量的数值表现称作
变量值，即标志值或指标值。变量与变量值不能误用。
变量值，即标志值或指标值。变量与变量值不能误用。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条