近年来，图像盲复原算法得到了广泛地研究。
近年来，图像盲复原算法得到了广泛地研究。
In recent years, BIR Algorithms (BIRA) have been studied widely.
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.
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.
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.
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.
本文提出了一种基于支撑向量机的盲超分辨率图像复原算法。
In this paper we propose a blind super-resolution image restoration algorithm based on Support Vector Machines (SVM).
提出一种基于区域自适应学习的人脸图像超分辨率复原算法。
A novel region adaptive learning-based super resolution algorithm for human face images is proposed, which divides a face image into flat regions and detailed regions.
这些算法在复原图像保边缘方面比经典复原算法有更好的表现。
These algorithms have better performance than classical restoration algorithms in image edge-preserving.
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.
改进并提出了基于频域维纳滤波器方法的空域图象模糊复原算法。
An improved spatial domain image deblurring algorithm is proposed based on wiener filter and deconvolution.
针对离焦模糊图像的盲复原算法的研究具有重要的实际意义和实用价值。
The research on fuzzy restoration algorithm of blurred images induced by relative motion;
文中提出的图像复原算法就是基于约束最小二乘方法的，并对其进行了改进。
The method posed by this article is based on constrained least square methods, hut it is improved.
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.
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.
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.
给出了时空数据模型的设计、历史沿革追溯与时间断面复原算法的分析，以及算法实现中的关键部分。
This paper shows the design of spatial-temporal data structure, the analysis of methods of history information backward recovering, and some example of important programming.
其次利用NAS - RIF进行盲复原算法复原图像时，在每次复原迭代过程中加入低通滤波环节。
Secondly, when image is restored by the NAS-RIF algorithm, in each iteration of restoration, it adds the low-pass filter link.
实验结果表明，改进的算法较使用非主频谱方向上的频谱数据的复原算法在复原效果上有一定的提高。
The experiment results indicate that, compared with the method using the frequency-spectrum data of non-main direction data, the improved method ameliorates the restoration effect of the blur image.
在目标探测过程中，为了消除大气湍流带来的影响，提出了一种基于APEX方法的盲去卷积图像复原算法。
In order to eliminate the influence of atmospheric turbulence in the course of detecting targets, a blind deconvolution image restoration algorithm based on APEX method was proposed.
论文基于模糊算法对由相对运动引起的模糊图像的复原算法进行了研究，阐述了运动模糊图像退化的数学模型。
This article is focus on fuzzy restoration algorithm of blurred image that is induced by relative motion. A degradation function model is proposed to analyze the blurred image.
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。
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.
第3章研究和分析了基于小波的图像复原算法，包括小波域的阈值反卷积算法、迭代正则化算法和参数模型算法。
Chapter 3 studies and analyzes the wavelet-based image restoration algorithms, including threshold deconvolution algorithm, iterative regularization algorithm and parameter model algorithm.
图像复原是图像处理中一个重要的研究课题。大部分图像复原算法，都只是单纯地利用图像灰度或梯度信息，并没有考虑图像的空间结构信息。
Image restoration is an important research subject in image processing. Image gray or gradient magnitude is used in most of image restoration algorithm and spatial information is not adopted.
针对MAP法提出了具体算法和参数估计方法。并提出应用图象分割法来提高计算机复原速度，节省存储空间。
We derive the algorithm and parameters estimate method for the MAP restoration, and propose the image sectioning to speed up the restoration and save memory space.
APEX是一种基于快速傅立叶变换的直接盲解卷积算法，能够快速复原复杂纹理图像。
The APEX method is an FFT-based direct blind deconvolution technique that can recover complex texture imagery quickly.
对比实验表明，将此算法用于图像的复原和重构可获得良好的效果，而且性能稳定。
Comparative experiments show that this algorithm converges to visually good images with excellent stability for restoration and reconstruction of images.
对比实验表明，将此算法用于图像的复原和重构可获得良好的效果，而且性能稳定。
Comparative experiments show that this algorithm converges to visually good images with excellent stability for restoration and reconstruction of images.
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