点扩散函数

长焦距Si微透镜阵列的制作及点扩散函数测量

Fabrication of Silicon Microlenses Array with Long Focus and Point Spread Function Measurement

微透镜的测试主要包括衍射效率（diffractiveefficiency）和点扩散函数（PSF）的测试，有直接法和间接法两种测试方法。

The measurement of microlenses includes diffractive efficiency measurement and point spread function measurement .

点扩散函数测量CT机MTF的应用研究

Research on the application of PSF for measuring MTF of CT

根据物理光学理论，计算了光学点扩散函数（PSF）。

Based on physical optics theorem , point spread function ( PSF ) is calculated .

对各个阶段点扩散函数的机理进行了详细的论述。概括了成像各阶段MTF的计算方法。

This paper summarized the mechanism of PSFs and the calculation of MTF in all stages .

采用点扩散函数测量x-CT机的MTF是一种有效的方法。

Measuring MTF of X-CT scanner by PSF is useful .

在退化点扩散函数（PSF）未知时，以差分图像的熵最小为准则直接估计恢复逆滤波器系数。

The unknown PSF is estimated based on the criterion of minimum entropy of the difference image data .

通过将原始图像与点扩散函数PSF进行卷积、叠加一定加性噪声两个步骤产生退化图像。

The step of creating degradation image includes convoluting original image and PSF , joining some additive noise .

运动模糊图像复原主要取决于点扩散函数（PSF）的确定。

For uniform linear motion and uniform rotation blurred images , settling the blur function is the key point in image restoration .

利用CCD测定黑白跳变边缘的边缘响应，对CCD获取的离散信号作一阶差分后再进行Gauss曲线拟合，得到了光学系统的点扩散函数。

We measured the edge response function with used CCD , and carried on the Gauss curve fitting after the first order difference , thus obtained the point spread function of optical system .

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 .

在计算机上通过模拟点扩散函数（PointsSpreadFunction简称PSF）、理想几何光学成像、单色光成像，成功地模拟了DOE的成像过程。

The main works in this paper is that , by calculating Points Spread Function ( PSF ) and simulating the forming of images of monochromatic light and ideality geometrical optics on the computer , we have simulated successfully DOE imaging process .

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 ) .

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 ) .

从夫琅和费衍射理论出发，分析光瞳编码光学系统的成像过程及点扩散函数（PSF）和调制传递函数（MTF）的计算公式。

The imaging procedure and the point spread function ( SPF ) and modulation transfer function ( MTF ) of encoded pupil optics are respectively analyzed and derived from Fraunhofer diffraction theory .

利用点扩散函数（PSF）理论讨论了自动聚焦过程中图像高频能量的变化。通过对传统方差评价函数的改进，提出了一种新的自动聚焦算法。

This paper discusses the fluctuation of high frequency energy in the process of Auto-Focusing by using the PSF theory , and presents a new algorithm by improving existing variance sharpness evaluation function .

目前图像复原技术都是以图像退化的某种先验知识为基础，当假定系统的脉冲响应（即点扩散函数PSF）已知或部分已知时，这一类图像复原称为经典图像复原。

Image restoration techniques are always based on certain priori knowledge of the image degradation . In the conventional image recovery , the PSF ( point spread function ) is supposed to be known .

匀速运动模糊失真图像的点扩散函数（PSF）为矩形，直接调用MATLAB中点扩散函数的创建函数和维纳滤波图像恢复函数，可实现图像恢复。

In MATLAB , by directly call the created function of point spread function and the Wiener filter image restoration function , image restoration can be realized . The point spread function of double shadow blur distortion image is more complicated .

在针对高分辨率图象中点扩散函数（PSF）概念分析的基础上，分析和讨论了基于CBERS-1图象的点扩散函数估计与图像复原算法。

Through analysis the concept of point spread function ( PSF ) for high resolution remote sensing imagery , we discuss estimation of the synthesized point spread function and image restoration algorithm .

如果把模糊图像恢复到它的原图像，需要正确估计点扩散函数（PSF）的运动模糊参数（模糊长度和模糊角度）。

To restore a motion blurred image to its near original form , the motion blurring parameters ( blur length and blur angle ) of its point spread function ( PSF ) must be properly estimated .

本文在讨论了显微系统点扩散函数的理论估计的基础上，通过实验验证了其有效性以及psf估计对反卷积算法的影响，为进一步研究三维显微图像的复原算法提供了理论基础和试验依据。

The theoretical estimation of the point spread function is discussed and validated its validity and the influence on the deconvolution algorithm in this paper as a basis of the further development of the three dimensional microscopic image restoration algorithm .

采用误差参数曲线的方法估计图像散焦半径，并计算点扩散函数，构造出改进的Wiener滤波器，并用DSP硬件系统实现，应用于磁粉探伤系统散焦图像的处理。

The method based on error-parameter curve is used to estimate out-of-focus radius of image , the point spread function is computed to construct the improved Wiener filer , which is realized by DSP hardware system and applied to process the out-of-focus image in the magnetic particle testing system .

为了对超声系统进行优化，笔者首先提出了一种点扩散函数（PSF）形成算法，用于模拟前端系统的聚焦，通过计算机仿真来计算不同系统系统参数下的PSF。

In order to optimize the ultrasonic system , the author first presents a point spread function ( PSF ) form algorithm , the focus for the analog front-end system , through computer simulation to calculate the system parameters under different system PSF .

并根据立方型相位板点扩散函数的特点，设计了一种以灰度梯度向量模方和为判据的等增量旋转调整PSF的维纳滤波方法，恢复模糊中间图像，最后进行系统的标定工作。

With the characters of point spread function with cubic phase mask , we designed the Wiener filtering basing on rotating the psf with the criterion of the sum of square of gray level gradient vector module , and then restore the blurred images .

其中对MTF、点扩散函数等的测量结果已接近国外同类仪器，而衍射效率、冷光栏效率的测量，目前还没有相关测试仪器出现。

Among these researches , the testing result of the MTF and the spot diagram is comparative to the imported apparatus , while the testing of the other parameters such as diffractive efficiency and the cold stop efficiency , which have not been reported before .

与多核协处理器方法相比，要理解GP-GPU，可以尝试下载两个锐化图像边缘的点扩散函数示例（线程变换示例），与GPU转换示例进行比较。

To start to understand a GP-GPU compared to a multicore coprocessor approach , try downloading the two examples of a point spread function to sharpen the edges on an image ( threaded transform example ) compared with the GPU transform example .

根据RL（Richardson-Lucy）不需要点扩散函数尺寸先验信息的优点和湍流退化模式的特点，将RL图像复原算法应用到气动光学效应退化图像的复原中。

According to the characters of the turbulence-degraded images . Richardson-Lucy ( RL ) algorithm was introduced to restore aero-optics degraded images . RL algorithm is totally blind , and it does not need the information about the size of the Point-Spread Function ( PSF ) .

相干光照明下无衍射系统的点扩散函数的测量

Measurements of Point Spread Function of Non-diffracting System under Coherent Illuminate

显微图像复原中的点扩散函数估计

The Estimation of the Point Spread Function in the microscopic image restoration

光电成象系统全色点扩散函数的研究

A study of multi-energy point spread function in electron optical imaging systems