Based on physical optics theorem, point spread function (PSF) is calculated.
根据物理光学理论，计算了光学点扩散函数(PSF)。
The method of establishing the point spread function (PSF) of motion-blurred image is discussed.
提出了一种直接从湍流退化图像中估计湍流点扩展函数值的方法。
The point spread function consists of prime point spread function and scatter point spread function.
其点扩展函数分为一次射线点扩展函数和散射点扩展函数两部分。
Its imaging resolution was analyzed by using the point spread function of volume holographic imaging system.
利用点扩展函数对体全息成像系统的深度分辨率进行分析。
The point spread function, which was necessary for the deconvolution, was obtained in our experimental measurement.
通过实验测量得到了解卷积所必需的点扩展函数。
A new method is proposed for estimating the PSF (point spread function) values of turbulence from turbulence degraded images.
提出了一种直接从湍流退化图像中估计湍流点扩展函数值的方法。
It shows that the image restoration using the generalized point spread function is much better than that using the traditional one.
实验结果表明，采用广义点扩展函数恢复三维图像，比采用传统点扩展函数恢复三维图像能获得更好的效果。
During the transmission of digital image, the signal may be blurred by the Point Spread Function (PSF) of the 2-dimensional channel.
数字图像在传输过程中，由于受到二维信道的点扩展函数(PSF)的影响，会产生图像模糊问题。
Blind image restoration is to recover the original image form the observed degraded image with unknown the Point Spread Function (PSF).
盲图像恢复就是在点扩散函数未知情况下从降质观测图像恢复出原图像。
In chapter 2, the characteristics of point spread function near the focus are analyzed in detail based on the theory of superresolution.
第二章是光学超分辨理论基础，对焦点附近点扩散函数的性质进行了详尽分析。
Point spread function (PSF) and Strehl ratio (SR) are used to evaluate the imaging quality of the system with different defocus parameters.
通过分析点扩散函数、斯特列比和离焦量的关系来评价三种不同掩模板对光学系统成像质量的影响。
The most complete measures of image quality for an optical system were its point spread function (PSF) and its optical transfer function (OTF).
全面测量光学系统像质的是它的点扩散函数(PSF)或光学传递函数(otf)。
This paper used Gaussian function as point spread function, applying in inverse filtering algorithm and Wiener filtering algorithm and improving them.
对模糊的成像结果进行图像复原，采用高斯函数作为点扩展函数，应用于三维逆滤波和维纳滤波算法中，改进了这两种算法。
Many image SRR algorithms assume that the blurring process, i. e., point spread function (PSF) of the imaging system is known prior to reconstruction.
大多数重建算法假设成像系统的模糊特性也即点扩散函数(PSF)已知，然而实际的应用环境下P SF事先不知道或部分知道。
When point spread function (PSF) is not known or only partially determined, restoration of the degraded images is called blind image restoration (BIR).
当点扩展函数未知或不确知的情况下，从观察到的退化图像中恢复原始图像的过程称为图像盲复原。
The point spread function (PSF) of volume holographic imaging system is employed to analyze diffraction imaging characteristics and estimate depth resolution.
利用衍射理论计算体全息成像系统的点扩展函数，评价成像系统的纵度和深度分辨率特性。
Description of satellite form effect with point spread function of satellite can calculate satellite reflected pulse intensity distribution in a simplified method.
用卫星的点扩展函数描述卫星形状效应，能非常简便地计算出被卫星反射后的脉冲强度分布。
The imaging equations are derived based on point spread function, the influence of detector on resolution is simulated, and the optimum pinhole radius is proposed.
基于点扩展函数，推导出共焦系统的成像公式，模拟了探测器尺寸对分辨率的影响，并提出最佳针孔半径。
But the performance of this method deteriorates in the case of high density bar code image, which is severely blurred by a point spread function of optical system.
对于被光学系统点扩展函数严重模糊的高密度条码图像，这种方法的性能急剧下降。
The solution proposed here identifies important parameters with which to characterize the point spread function (PSF) of the blur, given only the blurred image itself.
这里提出的方法是仅根据模糊图像本身，求出确定系统点扩散函数（PSF）的重要参数-模糊距离。
Considering diffraction effect based on scalar theory, we deduced a formula for point spread function of the coded aperture and discussed the ring coded aperture in detail.
基于标量衍射理论，考虑衍射效应的条件下，从理论上推导了编码孔径点扩散函数的公式，并对环形编码孔径进行了详细的讨论。
For infrared optical systems a point spread function is calculated in terms of the spot diagram obtained through geometrical ray trace or the theory of Kirchhoff diffraction.
对红外光学系统，用几何光线追迹得到点列图或用基尔霍夫衍射理论计算得到点扩散函数。
Based on the theories of non-diffracting imaging system in coherent light, the measurement system of point spread function (PSF) of non-diffracting imaging system has been presented.
在分析相干光照明下无衍射成像系统理论的基础上，设计了无衍射光成像系统的点扩散函数的测量系统。
The key problem in image restoration is to get the point spread function of motion-blurred images and the knowledge about noise. Gaussian white noise is commonly assumed as the noise.
由运动模糊图像复原出原图像关键问题是获取点扩展函数和噪声信息，其中噪声通常假设为高斯白噪声。
In another technique, the light source layer's point spread function is decomposed into a plurality of components, and an effective luminance pattern is determined for each component.
在另一种技术中，将光源层的点扩展函数分解成多个分量，并对每个分量确定一个有效亮度模式。
A rapid and accurate model used to study microscopic imaging through turbid medium is presented which combines traditional Monte Carlo with two dimensional point spread function (PSF).
将二维点扩散函数(PSF)和蒙特卡罗方法相结合，引入了一种研究混浊介质显微成像的快速仿真模型。
This method improves the estimating precision of the point spread function. Wiener filter is fabricated for recovering the defocused image based on the defocused point spread function.
并在求取离焦点扩散函数的基础上，优化了维纳滤波器，很大程度上降低了噪声对离焦模糊图像复原的不良影响。
The acquisition of the point spread function is the key point in non-blind restoration algorithms for image, it's very important to get the estimation of point spread function parameter.
在图像的非盲复原算法中，点扩展函数的获取是算法的关键，因而点扩展函数参数估计是图像复原中重要的一步。
Fluorescence power transfer function, three dimensional point spread function (3d PSF) and three dimensional optical transfer function (3d OTF) for the various fluorescent wavelength are calculated.
导出了共焦显微镜中不同荧光波长情况下的荧光功率传输函数、三维脉冲响应函数(3d P SF)和三维光学传递函数(3dOTF)。
A new depth retrieval algorithm based on the model of Gaussian point spread function is proposed, which uses the Gaussian distribution to interpolate the modulation to obtain the accurate depth map.
以高斯模型为基础，根据调制度分布曲线的特征，设计了一种新的高度恢复算法—高斯曲线拟合法。
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