This paper proposed a new blind image restoration algorithm based on relevance vector regression ( RVR) models. 提出一种基于关联向量回归模型的盲图像复原算法。
When point spread function ( PSF) is not known or only partially determined, restoration of the degraded images is called blind image restoration ( BIR). 当点扩展函数未知或不确知的情况下,从观察到的退化图像中恢复原始图像的过程称为图像盲复原。
Estimation of blind image restoration using local hierarchical models and MAP 基于局部分层模型和MAP估计的盲复原
Based on NAS-RIF algorithm for blind image restoration proposed by Deepa Kundur, an improved method is proposed in this paper. 在原非负支撑域递归逆滤波(NAS-RIF)算法基础上,提出了一种基于空间自适应和正则化技术的改进的盲图像复原算法。
Blind image restoration is to recover the original image form the observed degraded image with unknown the Point Spread Function ( PSF). 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。
A turbulence-degraded blind image restoration method based on generalized regularization was proposed. 针对湍流环境下红外成像的特点,提出了一种基于广义规整化的湍流退化图像盲复原方法。
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. 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。
Study of 2-Dimensional Blind Equalization in Blind Image Restoration 盲图像恢复中的二维盲均衡研究
Research on the Methods of Blind Image Restoration 盲目图像复原方法研究
A wavelet based adaptive regularization scheme for blind image restoration is presented. 提出了一种将小波变换和自适应正则化方法相结合的盲图像复原算法。
A New Algorithm for Blind Image Restoration 一种新的盲图像恢复方法
Furthermore, in the research of blind image restoration, provide the realization to the complicated EM algorithm, point out the shortcoming of this algorithm and provide the improved method. 在盲图像复原算法研究中,对复杂的EM算法给出了具体的实现过程,其中包括为提高算法的效率而提出的收敛限制条件,并指出了此种算法的缺点以及改进的方法;
This thesis analyzes the theoretics of a space-adaptive regularization method for blind image restoration. 对空间自适应正则化图像盲复原方法的理论和相应算法进行分析。
A Blind Image Restoration Method Based on Space Adaptive Regularization and the Hopfield Network 基于空间自适应正则化和Hopfield网络的图像盲复原方法
Realize an algorithm for a blind image restoration by using the total variation regularization. 实现了一种基于TV正则化的图像盲恢复算法。
Blind Image Restoration Based on Alternating Iteration and Neural Network 基于交替迭代和神经网络的盲目图像恢复
This paper introduces the application background and basic methods of blind image restoration briefly, analyzes the degradation model of image and the ill-posed problem during restoration in detail. 本文简要介绍了盲目图像复原的应用背景及基本方法,详细分析了图像退化模型及图像复原过程中的病态问题。
The theory analysis, algorithms research, numerical experiment and engineering application about adaptive image enhancement, blind image restoration and microscopic image analysis is emphatically studied in the dissertation. 论文重点研究了针对生物成像的自适应图像增强、盲目图像恢复和显微图像分析的理论算法、数值实验和工程应用。
In many blind image restoration algorithms, non-negativity and support constraints recursive inverse filtering ( NAS-RIF) have better effects, but the restoration result is badly worsen and the application is minimized because of the noise amplification. 在诸多的盲恢复算法中,非负有限支撑限制递归法(NAS-RIF)可以取得较好的恢复效果,但其对高频噪声的放大严重地影响了恢复效果和具体应用范围。
At the same time, several blind image restoration algorithms have been researched. 同时也着重的研究了几种迭代的盲图像复原算法。
To cope with the uncertainty of the solution's uniqueness and convergence in the iterative blind deconvolution ( IBD) method, a novel wavelet-based iterative blind image restoration algorithm is proposed. 针对迭代盲反卷积算法中解的唯一性和收敛性不确定问题,提出了基于小波的迭代盲图像恢复新算法。
Study on Blind Image Restoration Algorithms 图像盲恢复的算法研究
Then, we combine the adaptive fidelity total variation denoising method with blind image restoration based on gradient-projection algorithm, de-noise the estimated image and PSF respectively. After that we have realized multi-frame gray image restoration. 然后将改进的自适应保真的全变分去噪方法应用于图像盲复原,分别对梯度投影算法所估计出的真实图像和点扩散函数去噪,从而实现了多帧灰度图像的盲复原。
The blind image restoration algorithm based on the TV of regularization model is also analyzed in this paper. 本文还对基于TV正则化模型的盲图像恢复算法进行了研究分析。
In this thesis, we have researched blind image restoration technology deeply, and improved blind image restoration based on gradient-projection algorithm. 本文深入研究了图像盲复原技术,并且对基于梯度投影的图像盲复原算法进行了改进和实现。
In order to obtain a robust blind image restoration method that is applicable to different blurred images and without complicated parameter tuning, a robust blind image restoration method of extracting blur kernel from a single image and deblurring is proposed. 为了得到对不同模糊图都适用且不需要复杂的参数调节的图像盲复原方法,提出了一种稳健的从单幅模糊图像中求取模糊核并对图像去模糊的图像盲复原方法。
In the single channel blind restoration algorithm, we solve blind image restoration problem with two parts. 在单通道盲复原算法中,本文分两部分解决图像盲复原问题。
In the iterative blind image restoration algorithms based on Markov random field, the improved algorithm based on MAP estimation algorithm was put forward. 在基于马尔科夫随机场的迭代盲图像恢复算法中,提出了基于MAP估计算法的改进算法。
Studied the history of development of blind image restoration, introduced the current commonly blind image restoration algorithms. 研究了图像盲复原的发展历史,介绍了目前常用的几种图像盲复原算法。
The iteration of the blind image restoration algorithm based on Markov random field is mainly researched. 重点研究了基于马尔科夫随机场的迭代盲图像恢复算法。