因此，采用传统模糊图像恢复方法很难满足井下高精度测量任务的要求。
So the traditional image-restoring way isn't able to meet the demand of high precision measurement.
提出了一种基于模糊熵的多值图像恢复方法，该方法根据在应用方面的局限性对其表示的形式进行了扩展。
A method of multi-level image restoration based on fuzzy entropy is presented. The method can extend the entropy's express form in terms of entropy's limitations on application.
如何在信息不足的情况下恢复模糊图像？
图像恢复就是在存在噪声的情况下去除模糊。
A fundamental issue in image restoration is blur removal in the presence of observation noise.
研究了利用模糊融合技术对白高斯噪声图像进行恢复的方法。
This paper studies the problem of restoring images degraded with Gaussian white noise by fuzzy fusion technology.
具有非零灰度边界的旋转运动模糊图像的恢复是图像处理的一个热点研究问题。
The restoration of rotational motion blurred images with the boundaries of non zero gray values is a study hotshot in the field of image processing.
所谓盲恢复就是利用成像系统的部分信息，根据降质图像来恢复出清晰图像和模糊因子的图像恢复过程。
Blind image Restoration is the process of estimating both the true image and the blur from the degraded image characteristic using partial information about the imaging system.
最后根据图像运动产生的停滞感和模糊问题加以讨论，并总结出运动图像恢复后的质量评阶标准。
At last, the article discusses the picture's stagnant sense and fuzzy produced by the picture moving, and summarizes the quality evaluation criterion after the moving picture resumes.
针对内窥镜图像恢复的需求，结合模糊先验辩识算法和遗传寻优的思想给出了一种基于模糊遗传算法的图像恢复算法。
In light of the need to resume the endoscope image, a new algorithm is put forward, which combines the fuzzy experience-oriented identification algorithm and the idea of hereditary optimization.
这是唯一的软件，可以显着地从模糊图像中恢复丢失的细节。
It is the only software that can significantly recover lost detail from blurry images.
对于匀速直线运动引起的图像模糊，已经提出了一种基于传播波方程的恢复方法及其恢复质量的客观评价准则。
Recently, based on the traveling wave equation, an image restoration method and its objective assessment to the quality of restored images are proposed by the present authors and others.
运动模糊图像清晰度评价函数是图像恢复中评价图像质量的一个重要判据。
Clarity evaluation function of motion blurred image is an important criterion for evaluating the quality of image restoration.
分析了运动模糊图像的退化模型和恢复过程，改进了一种运动模糊图像的恢复方法。
This paper analyses the degradation model and restoration process of motion-blurred images and improves a restoration method for motion-blurred images.
振动退化图像的恢复算法面临的主要问题是在比较宽松的约束条件下对模糊图像的快速恢复。
The main problem of vibration blurred image restoration is how the restoration can be done under loose constraints.
并进一步通过分析相应的数学模型，探讨了匀速直线运动模糊图像的恢复技术问题。
Thus it probes into the restoration question of photographs blurred by uniform linear image further motion.
建立了初步光学实验平台，通过模拟云雾干扰实验，研究不同模糊特征图像的恢复处理方法。
The initial optical experimental platform was built, and restoration processing methods were discussed according to different blurring characteristics through experimental clouds simulation.
该模型为X射线成像系统空间分辨率和密度分辨率的初步设计和评定提供了理论依据，可作为X射线图像恢复算法中模糊函数的先验信息。
The model can be used to design or evaluate X-ray imaging system and can also be a pre-knowledge of blur function in X-ray image restoration.
本论文研究的重点是贝叶斯框架下的图像恢复问题，包括了参数估计、图像降噪和图像去模糊等。
This thesis focuses on the image restoration in Bayesian framework, which mainly contains research on model parameter estimation, image denoising, and image deblurring.
根据实际卫星遥感成像的大气云雾影响特性，和傅立叶光学空间滤波原理，从云雾频谱分析的角度讨论模糊图像的滤波恢复处理方法。
Based on the practical atmosphere characteristic, the restoration methods are described through filtering the blurred images from the Angle of Fourier optics spectrum.
先验模糊辨识方法是先获得点扩展函数的信息后再进行图像恢复，而迭代盲目反卷积方法是同时估计出清晰图像和点扩展函数。
Priori Blur Identification gets the PSF before restoration implementation, while Iterative Blind Deconvolution estimates the true image and the PSF at the same time.
本文首先介绍了五种常用的运动模糊恢复方法，重点介绍了利用传播波方程对匀速直线运动引起的图像模糊进行恢复的方法。
This thesis first introduces five widely-used restoration methods of motion-blurred images, especially the restoration method based on traveling wave equation.
本文深入分析与研究了运动模糊图像的成像原理，建立起图像的退化模型及恢复模型。
The article studies and analyses the theory of images blurred by motion, setting up the model of degenerating and restoration.
对由于相机和目标之间的相对运动造成的运动模糊图像，根据不同的应用背景和先验知识，本文提出两种方法进行图像恢复。
We proposed two methods which apply different command and different to restoration blur image which was introduced by relative motion between the camera and the object scene.
本文利用改进的模糊聚类算法，依据邻域信息实现了对丢失图像信息的恢复，并完成了对该图像的检测。
In this paper, an improved FCM algorithm (CFCM) is given, through which the lost information of in-complete-data images can be restored, while edge-detection of images is accomplished.
本文利用改进的模糊聚类算法，依据邻域信息实现了对丢失图像信息的恢复，并完成了对该图像的检测。
In this paper, an improved FCM algorithm (CFCM) is given, through which the lost information of in-complete-data images can be restored, while edge-detection of images is accomplished.
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