图像降噪技术属于图像复原技术。
The image noise reduction technology belongs to image recovery technology.
图像复原是数字图像处理的一个重要内容。
Image restoration is one of the important contents in digital image processing.
研究了图像复原处理在显微测量中的应用。
Application of image reconstruction in microscopic measurement is studied.
在数字图像复原领域，什么是移位不变模糊了呢？
In digital image restoration field, what is shift-invariant blurs?
第三章主要论述基于空间域的数字图像复原算法。
Chapter three mainly deals with image restoration in the spatial domain.
同时也着重的研究了几种迭代的盲图像复原算法。
At the same time, several blind image restoration algorithms have been researched.
提出了基于微粒群和模拟退火算法的图像复原算法。
A method of image restoration based on PSO and simulated annealing algorithm is proposed.
提出一种基于关联向量回归模型的盲图像复原算法。
This paper proposed a new blind image restoration algorithm based on relevance vector regression (RVR) models.
对运动模糊图像复原的测试，也证明了该方法的有效性。
The testing for recovering the vague image proves that the genetic algorithm is effective.
分析了图像处理过程中的运动模糊图像复原和霍夫变换。
It also analyses the restoration of the motion blurred image and the Hough transform in the image processing.
为了克服这个困难，本文提出一种新的局部图像复原算法；
To overcome this difficulty, a new local deblurring algorithm is proposed in this paper.
采用外延信息弥补技术和维纳滤波法解决模糊图像复原问题；
Then the fuzzy image-restoring question is settled by using the extension information making up way and the Wiener filtering way.
实验表明，该算法复原效果良好，是一种有效的图像复原方法。
The experiment indicates that the result restores well with the proposed algorithm and it is a kind of effective method to restore motion blurred images.
数字共焦显微技术通过三维图像复原方法可以提高图像分辨率。
Digital confocal microscopy can improve the image resolution through a three-dimensional image restoration method.
介绍了具有非负和有限支撑约束的递归逆滤波器盲图像复原算法。
A restoration algorithm for recursive inverse filtering blind image is introduced for non-negative and finite support images.
结论刑事数字图像复原技术在刑事技术领域有了广阔的应用前景。
Conclusion Digital image processing technology is of much prospect in forensic application.
因此图像复原是航天tdic CD相机应用中必须解决的重要问题。
Therefore, the image restoration is the important problems which must be solved in the application of aerospace TDICCD camera.
提出了一种基于各向异性和非线性正则化的湍流退化图像复原新算法。
A new algorithm is proposed for restoring the turbulence-degraded images by use of anisotropic and nonlinear regularization.
基于波前测量的图像复原技术成本低，性能优越，广泛应用于各种领域。
The method of Deconvolution from Wave-Front Sensing (DWFS) can be applied in many fields because of its low cost and excellent performance.
针对单帧图像复原中的混迭现象，采用一种基于传感器几何特性的倒易晶胞复原方法。
A restoration of reciprocal cell is adopted to reduce alias of the single frame, which is based on geometrical characteristics of sensor.
周期性误差是匀速直线运动降质图像复原中普遍存在的现象，它严重影响复原图像质量。
Periodic error commonly appear in restoring uniform motion blurred picture, its appearance degrade the quality of restored image heavily.
湍流退化图像复原是一个富有挑战性的世界性难题，在航天光电成像领域具有广泛的应用前景。
The restoration of turbulence-degraded images is a more difficult and challenging problem in the world, having wide applications in the fields of optical-electric imaging.
为了对图像复原算法频谱恢复特性进行分析和评价，提出了一种基于高斯函数假设的分析新方法。
In order to analyze and evaluate the spectrum restoration property of image restoration algorithms, a new method based on Gaussian function is proposed.
研究表明，对气动光学效应图像进行降晰函数辨识，可以有效地应用于气动光学效应的图像复原。
The research shows that a problem of image restoration of aero-optics effect can be resolved effectively by identifying blurs.
采用频域正则化求逆和小波域维纳滤波去噪的方法对已知线性降晰模型的含噪图像进行图像复原。
Image is restored which is blurred by the known linear model and noise, with the method of frequency-domain regularized inversion and wavelet-domain wiener filter denoising.
研究并综述了PID神经元网络及其在图像处理中的应用，如图像去噪、图像复原、阴影去除等。
This paper studies and describes PID neural network and its application in image processing, such as im - age noise reducing, image restoration and image shadow removal.
为了在抑制噪声的同时保护图像的细节，提出了一种基于模糊函数的自适应平滑约束图像复原算法。
A new degraded image restoration algorithm which USES adaptive smoothness constraint based on fuzzy functions is used, is proposed.
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。
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.
随后，基于图像复原统一能量泛函的欧拉·拉格朗日方程，导出一种非线性数字滤波器的统一设计框架。
The unified designing framework for nonlinear digital filters is subsequently derived, through solving the Euler-Lagrange equation of the unified energy functional.
基于以上原因本文以高斯模糊图像的盲复原为基础，探讨了一些图像复原方法，力求达到较好的复原效果。
Based on these reasons above, this thesis studies the blind restoration methods of Gauss blurred image so as to reach a better restoration effect.
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