采用清晰度准则及最大值跟踪法解决点扩散函数的未知参数求解问题。
Finally, the question of the point-spread function's unknown parameter solver is settled by using the precision rule and the max-track way.
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。
Blind image restoration is to recover the original image form the observed degraded image with unknown the Point Spread Function (PSF).
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。
In chapter 2, the characteristics of point spread function near the focus are analyzed in detail based on the theory of superresolution.
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)。
The most complete measures of image quality for an optical system were its point spread function (PSF) and its optical transfer function (OTF).
由所有物元的点扩散函数构成一个点扩散数组，数组的每一行对应一个物元的点分布。
A point spread array was constructed from all point spread functions of all elements; each row of the array corresponds to the point spread of an object element.
一旦迭代过程收敛，通过对点扩散函数进行傅立叶变换即可得到待测低分辨率图像的MTF。
Once the process has converged, taking the Fourier Transform of the PSF gives the estination of the low resolution image MTF.
实验结果表明，正则化条码信号复原算法在消除系统点扩散函数的影响的同时能够很好地抑制噪声。
The experimental results show that the regularization algorithm of the restoration of bar code signal can restrain the noise effectively when it is eliminating the effect of the point spread function.
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。
Point spread function (PSF) and Strehl ratio (SR) are used to evaluate the imaging quality of the system with different defocus parameters.
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。
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.
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。
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.
图像恢复是太空太阳望远镜（SST）图像处理的重要组成部分，当点扩散函数未知时只能进行盲恢复。
Only blind image restoration algorithms can be used in space solar telescope(SST) image processing when the point-spread function is unknown.
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。
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).
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。
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.
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。
Many image SRR algorithms assume that the blurring process, i. e., point spread function (PSF) of the imaging system is known prior to reconstruction.
通过设计扩散系数为梯度模及曲率的函数，提出了一种保护角点的非线性扩散滤波模型。
A corner preserving nonlinear diffusion filter is proposed, whose diffusion coefficient is the function of the gradient and the curvature.
通过设计扩散系数为梯度模及曲率的函数，提出了一种保护角点的非线性扩散滤波模型。
A corner preserving nonlinear diffusion filter is proposed, whose diffusion coefficient is the function of the gradient and the curvature.
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