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1)  denoising
去噪声
1.
The paper describes the study of combination of denoising and edge detection based on wavelet transform with design of treatment planning in radiotherapy.
将基于小波变换的图像去噪声和边缘检测技术与现代放射治疗计划设计结合进行研究。
2)  noise reduction
噪声去除
1.
Taking the advantage that the local linear projective algorithm (LLPA) does not have to know the dynamics of chaotic signals in advance, it uses this algorithm in the receiver end of Chaotic Shift Keying (CSK) system for the noise reduction.
利用局部线性投射算法 ( LLPA)不需要预知混沌信号动态特性的特点 ,将其应用于混沌键控系统 ( CSK)进行接收端的噪声去除 。
3)  denoising
噪声去除
1.
Wavelet Analysis and Its Application in Denoising the Spectrum of Hyperspectral Image
小波分析及其在高光谱噪声去除中的应用
2.
A denoising and baseline correction method based on wavelet transform and their parameters choosing method were developed to remove noise and correct baseline in the spectrum effectively.
该方法通过对光谱信号在小波域内的低频段小波系数置零来实现基线校正,通过对较高频段小波系数阈值处理来实现噪声去除;并利用纯光谱和常见基线、噪声的仿真信号,通过兼顾重构信号整体逼近和特征峰处局部逼近的评估系数η来实现小波基、分解层数、阈值估计方式等参数的选取。
4)  denoising strong noise
去强噪声
5)  noise removal
噪声去除
1.
Image noise removal as the foundation of image segmentation and machine recognition is a classic field in image processing, and plays a very important role in the processing and analysis of medical images and satellite remote sensing image.
图像噪声去除是图像处理研究的经典内容之一,是图像分割、机器识别等研究的基础,在医学图像,卫星遥感图像处理与分析中有重要应用。
6)  remove noise
去除噪声
补充资料:X线量子噪声


X线量子噪声


影像学术语。X线量子依泊松(Polsson)分布的统计学法则随机产生的空间波动。噪声量与X线检测器检测到的X线量成反比。因此,相应地与入射的X线量成反比。即是说,入射的(检测到的)X线量越大,X线量子噪声越小。噪声量通常以均值平方根(root mean square,RMS)表示。
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