Data denoise and compress are the core of the whole process.

在整个数据处理过程中，数据除噪和数据压缩是预处理的核心。

DeNoise: Noise reduction plugin using a modified Gaussian blur algorithm.

DeNoise：使用高斯模糊算法的降噪插件。

Experimental results show that the method can enhance, sharpen, and denoise images.

实验结果表明：该方法可以有效地实现对比度增强、噪声抑制和边缘保护。

Result: Good result about edge detection and denoise for image was gained by this way.

结果此方法得到了满意的边缘检测和降噪结果，克服了传统方法的缺点。

Additionally, digital filter from LabVIEW is used to denoise voltage from K-type thermocouple.

同时，对热电偶电压信号从软件数字滤波上消除干扰。

The method for detection, denoise and realization of signals in chaotic background is difficult.

混响背景下目标信号的检测、降噪方法与实现，一直以来都是一个难题。

Signal acquisition system is presented and common denoise methods of hardware system are supplied.

介绍了信号采集系统，提供了硬件系统常用的降噪措施。

The denoise image has little error compare to original image and the effect of denoising is distinct.

去噪图像相对于原图像误差小，去噪效果明显。

A new model of nonlinear denoise is proposed and applied in the detection of chaotic time series signals.

建立了非线性降噪模型，并且应用此模型进行混沌时间序列信号检测。

The experiment shows that this method can powerfully denoise salt-and-pepper noise with good edge-preserving.

实验结果证明，这种方法不但能有效地滤除椒盐噪声，而且能够很好地保持边缘。

In order to retain the weak edge information while denoise, the circulation translation method is used again.

为了在去噪声的同时更多地保留弱边缘信息，再次利用到循环平移的方法。

It is our aim to denoise and preserve the details such as edges and corners in the image as much as possible.

我们的主要目标是在去除图像噪声的同时尽可能地保持图像的边缘以及图像角点等特征信息。

Objective:To study the denoise of medical digital image and increasing doctors diagnostic ability of images detail.

前言： 目的研究医学数字影像的降噪法，提高临床大夫对医学影像细节的诊断能力。

It achieves a good effect by forced denoise, and the select of reconstruction scale also has an important influence on filtering.

采用强制去噪后的效果很明显，重构层数选取对滤波效果有重要影响。

The experimental results show that the model enhances the denoise effect and retains the other advantages as in current approaches.

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。

This paper presents four improved thresholding functions. They are theoretically proved to be effective to denoise impulsive noise.

本文提出了四种改进的阈值函数，并且在理论上证明了这四种改进的阈值函数对脉冲噪声都是有效的。

The method is used to detect actual complex surface, and denoise background noise combined with the histogram equilibrium algorithm.

上述定理应用于复杂背景下的路面检测，结合直方图均衡化算法消除背景噪声；

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。

The mathematical model for denoise was built and then the capability of this model was analyzed and also the importance of selecting preference.

根据整体偏微分方程建立了去噪模型，并分析了模型的性能和参数选择的重要性。

It brings inconvenience to the later processing for the introduced noises while in the acquirement of CCD image, thus image denoise is necessary.

CCD图像在其获取过程中由于噪声引入而给别的处理带来不便，因而对其进行降噪处理是一项至关重要的工作。

Based on the classical algorithm, we discuss a PDE method to denoise and enhance the images, which has a better visual effect than classical methods.

本文在传统算法的基础上，探讨了对图像进行去噪、增强处理的偏微分方程方法，并力求算法较传统算法在图像的视觉效果方面有一定程度的提高。

Theoretically, this method could be used to denoise other spectral imaging data and provide reliable foundation for achieving stable analysis results.

预期本方法可应用于其它光谱成像数据去噪，为光谱的解译和定量分析提供可靠的研究基础。

The experimental results verified the accuracy and feasibility of the denoise method to process the momentary speed signal for engine misfire detection.

试验结果验证了该方法的可行性，为利用瞬时转速信号检测发动机失火提供了条件。

For the advantage of wavelet transform in denoising and data compression, we choose wavelet transform to denoise and compress the data of Near-infrared spectra.

并根据小波变换在噪声滤除及数据压缩方面的优势，选取小波变换对光谱数据进行滤噪和初步压缩。

The Color Total Variation (CTV) model can denoise while maintaining the edge of the damaged images, but it should be improved in domains of complicated texture.

基于全变分的彩色图像修复(CTV)模型，可以在保持边缘的同时达到去噪目的，但对纹理较复杂的区域修复效果不理想。