摘要
信噪比在音视频处理、信号传输、目标探测、图像分析等众多应用领域都起着非常重要的作用,不同条件下信噪比的定义方式和计算准则不同。详细阐述了探测信噪比的定义及其原理,将探测信噪比根据光子数、光电子数、比探测率、调制传递函数、电流、电压、灰度、能量等不同形式进行了分类,归纳总结了各种定义中物理量之间的区别与联系,并进行了统一标识。最后指出了不同定义下的信噪比之间没有很好的可比性,强调了提及信噪比时需要同时包含其具体定义和计算方式,并提出了一个总的光电子数形式的探测信噪比表示形式。
SNR plays an important role in numerous applications such as audio and video processing, signal transmission, target detection, image analysis and so on.The expressions of SNR vary in different conditions.ln this paper, definitions and principles of detective SNR are expounded firstly in the form of photon, photoelectron, specific detectivity, moctulation transfer function, current, voltage, image intensity and energy.And, a relationship between the physical variables in the various definitions is summarized and the symbols are unified.Then, it is pointed out that different definitions of SNR have no good comparability.Next, it is emphasized that both specific definition and calculation rule must be indicated when referring to SNR.Finally, a general definition of the detective SNR in the form of photoelectron is proposed.
出处
《电声技术》
2016年第6期37-43,57,共8页
Audio Engineering
基金
国家高技术研究发展计划项目(863计划)(G158207)
关键词
探测信噪比
光子数
光电子数
比探测率
图像灰度
调制传递函数
detective SNR
photon
photoelectron
specific detectivity
image intensity
modulation transfer function
