应用MATLAB软件系统实现工程图像的去噪。
The engineering image denoising is realized with MATLAB software system.
目的寻找适合载人航天需要的心电信号去噪方法。
Objective To find a method for denoising of ECG signals during spaceflight.
提出了一种改进型正交有限脊波分析的图像去噪算法。
One kind of Modified Orthonormal Finite Ridgelet Transform was brought forward.
本文提出一种超完备字典学习算法并应用于图像去噪。
This paper proposes a dictionary learning algorithm which is applied to image de-noising.
实验结果表明，该方法比中值滤波具有更好的去噪效果。
Experimental results demonstrate that this method is more valid than medium value filtering.
传统的去噪方法在去噪的同时使得图像的细节变得模糊。
Traditional methods can filter noise, but at the same time they make the image details blurred.
目的将各向异性扩散方法应用于超声医学图像的去噪处理。
Objective To remove the speckle noise in ultrasonic images by using anisotropic diffusion method.
虹膜图像的预处理包括虹膜图像的定位、归一化、增强和去噪。
It is composed of iris localization, iris normalization, iris image enhancement and denoising in image preprocessing.
为了实现良好的性能在这方面，去噪算法，以适应图像的不连续性。
To achieve a good performance in this respect, a denoising algorithm has to adapt to image discontinuities.
实验结果表明，这种方法对FMI图像有好的分割效果和去噪效果。
Test results show that the method has good division effect and noise suppression effect on FMI image.
实验结果表明该方法提高了信噪比，去噪效果优于单独应用阈值降噪的方法。
The result indicates that it increases the SNR, de-noising effect is better than the threshold de-noising only.
用均方差衡量去噪性能，实验表明用鲁棒局部阈值去噪法好于全局阈值去噪法。
The experiment shows that image denoising using the robust local threshold performs better than that using the universal threshold.
仿真结果显示，复合余弦基神经网络图像去噪滤波器各项特性接近理想滤波器。
The simulation results reached nearly ideal filter characteristics, and the performance of removing image noise using this filter was compared with the median filter.
与传统的阈值去噪法和基于平移不变量的去噪算法相比，该算法提高了信噪比。
Compared with the traditional de-nosing methods by threshold value and translation invariance, the algorithm increases the signal to noise ratio.
预处理包括图纸扫描输入、图象二值化、图象平滑与去噪、线条细化和曲线跟踪。
The preprocessing steps include drawing scanning, binary image transforming, line thinning and cure tracing.
常用的去噪方法在实际应用中都需要借助图像噪音强度去估计或控制去噪的效果。
Nowadays, our methods of noise removal estimate or control the results of noise removal with the help of the image noise level in apply.
此外我还除掉了一些灰尘斑点，拉直了地平线，对天空进行了去噪点，并锐化了前景。
In addition to that I removed some dust spots, straightened the horizon, applied noise reduction to the sky (using Noise Ninja), and sharpened the foreground.
方向平滑滤波器兼有去噪和边缘保持的双重特性，在数字图像预处理中被经常采用。
Directional smoothing filter is frequently used in digital image processing for it has the double properties of noise filtering and edge preserving.
实验结果表明，这样的处理不仅加强了去噪效果，而且保持了现有处理方法的其他优点。
The experimental results show that the model enhances the denoise effect and retains the other advantages as in current approaches.
基于EMD时间尺度滤波特性，在引入相关度分析的基础上提出了EMD相关度去噪方法。
Based on the idea of the correlation degree and the EMD (Empirical Mode Decompositon) time scale filtering, the EMD de-noising method based on the correlation degree is proposed.
特别是对阈值去噪方法，提出了一种基于正交小波变换和自适应学习算法的噪声抑制方法。
Especially to threshold de-noising, a method based on orthogonal wavelet analysis and self-adaptive learning algorithm was proposed here.
根据水下图像的特点，其底层处理过程分为：图像去噪，图像增强，边缘检测，和边缘提取。
According to the characteristics of the underwater image, the bottom layer can be divided into four steps: image denoising, image enhancement, edge detection and edge extraction.
根据经典总体变差恢复模型，设计了一种新型的应用于图像去噪的数字TV滤波器的一种算法。
Based on the classical total variation restoration model, we design a new nonlinear algorithm of digital TV filter for image de-noising.
传统信号去噪方法常采用门限法对噪声信号的小波或小波包变换做阈值处理以达到去噪的目的。
In traditional denoising methods for signals, we usually use the method of threshold to achieve denoising by the threshold disposing of wavelet packet transform.
针对传统扩散模型中的边界模糊问题，提出一种基于非局部信息的非线性偏微分方程去噪模型。
A nonlinear partial differential equation model based on nonlocal information was proposed to remove noise and preserve the edges.
为提高动态心电图自动分析的准确率，本文提出一种检测动态心电图中强噪声段及去噪的方法。
This paper presents an algorithm to detect strength noise segments and denoise them in dynamic ECG for improving the accuracy of auto analysis.
为提高动态心电图自动分析的准确率，本文提出一种检测动态心电图中强噪声段及去噪的方法。
This paper presents an algorithm to detect strength noise segments and denoise them in dynamic ECG for improving the accuracy of auto analysis.
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