1.
Applications of the Wavelet Transform in the Edge Detection of Noise Im ages
小波变换在有噪图像边缘检测中的应用
2.
The Study on the Edge Detection of Noisy Image by Fractal
分形方法用于有噪图像边缘检测的研究
3.
Multiresolution Segmentation of Noise Image Based on Wavelet Transform;
基于小波变换的有噪图像多分辨率分割
4.
Efficient method for removing mixed noise in images
去除图像中高斯-脉冲噪声的有效方法
5.
A wavelet threshold denoising algorithm is effective for denoising the white noise in image.
小波阈值去噪算法是去除图像信号中白噪声的有效算法。
6.
Image Denoising Based on Finite Ridgelet Transform;
基于有限脊波变换的图像去噪方法研究
7.
An Efficient Method for Removing Speckle Noise from SAR(Synthetic Aperture Radar) Image
一种有效的SAR图像相干斑噪声抑制方法
8.
Infrared Image Sharpening Algorithm With Noise Inhibition
一种具有噪声抑制功能的红外图像锐化算法
9.
The Separation of Noisy Mixed Image Based on Wavelet Transform and Independent Component Analysis
基于小波变换和FASTICA算法的有噪混合图像盲分离
10.
Image Denoising Based on Curvelet Transform
基于Curvelet变换的图像去噪
11.
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。
12.
A research on the method of image de-noising based on Gaussian white noise
高斯白噪声背景下图像去噪方法研究
13.
The Research on Image Noise Suppression of CMOS Image Sensor
CMOS图像传感器的图像降噪技术的研究
14.
Denoising is very important in image processing.
去噪算法在现代图像处理应用中占有极其重要的地位。
15.
Computer-Aided Diagnosis--System Effectiveness, Image Consistent Rendering and Denoising
胸片计算机辅助诊断——系统有效性、图像的一致化处理及去噪
16.
Image Denoising Methods Based on PDE and Graph-cut
基于PDE、图割的图像去噪模型及算法
17.
This method can effectively remove the noise, enhance image mean grads and improve image visual effect.
该方法可以有效地去除噪声，增强图像的平均梯度，改善图像的视觉效果。
18.
The Mathematics Methods Research in Denoising and the Whole Domain Denoising Method Using Singular Value Decomposition;
图像去噪的数学方法及整体域SVD去噪方法研究