TVM:总变化最小化
“Total Variation Minimization”(总变化最小化)在学术和科学领域中,特别是在数学和图像处理等方向应用广泛。为便于书写和使用,该术语常被缩写为TVM。TVM方法主要用于信号恢复和去噪任务,通过最小化信号的整体变化来实现数据平滑和边缘保持,是一种经典的正则化技术。
Total Variation Minimization具体释义
Total Variation Minimization的英文发音
例句
- This algorithm changes the form of nonlinear filter, and denoises the image by combining with the method of total variation minimization.
- 该算法改变了原算法中非线性滤波的方式,并结合总变分最小化方法对图像进行降噪处理。
- Based on the theory of total variation minimization and the active contour image segmentation method, we proposed a simple linear model of texture images which regards a texture image as a sum of a photo prototype image and a texture sub-image.
- 不同于传统的提取纹理特征量进行纹理分割的方法,本文将图像复原和重建中的总变分最小化方法和活动围道分割方法相结合,提出了一种简单的线性纹理模型。
- Restoration of degraded images caused by aero-optics effects using total variation minimization algorithm
- 总变分最小化算法在气动光学效应退化图像复原中的应用
- In recent years, as the application of CS in CT reconstruction, the total variation minimization ( TVM ) based regularization iterative reconstruction algorithms have achieved approval results for few-views problems.
- 近几年,作为压缩感知原理在CT重建中的应用,基于图像全变差最小化(TotalVariationMinimization,TVM)的正则化迭代算法对于求解投影角度采样稀疏型的重建问题取得了令人惊喜的成果。
- Experiment results show that the algorithm proposed could avoid the staircase effect occurred in some classical total variation minimization methods, and has the better restored effect.
- 实验结果及分析表明,该算法能有效抑制以往最小化方法产生的阶梯效应,具有较优的复原效果。
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