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motion-blur-Image-Restoration
- 用matlab开发的运动模糊复原程序，包括运动参数的估计、维纳滤波器的源代码-Development of the motion blur with matlab recovery procedures, including the motion parameters estimation, Wiener filter source code
IMGReg
- VC数字图像处理典型算法及实现,完整的源码,主要的图象复原算法:运动模糊,运动模糊复原,逆滤波退化,逆滤波复原,加噪退化,维纳滤波复原-VC typical digital image processing algorithm and the realization of the complete source code, the main image recovery algorithm: motion blur, motion blur restoration, inverse fil
RECOVER
- 比较反滤波和维纳滤波对一幅图像复原的效果。从两方面出发，一是对运动模糊和均值模糊复原的能力，二是抗噪能力，各种情况分别都进行了对比-Comparison of inverse filtering and Wiener filtering on an image restoration results. Proceed in two ways, first on the motion blur and the mean fuzzy recovery capability and noise imm
11
- 主要是图像恢复技术，包括运动模糊，维纳滤波恢复等-Mainly image restoration techniques, including motion blur, such as Wiener filter to restore
IMGRestore
- 图像复原的相关程序，内含运动模糊和运动模糊复原、逆滤波退化和逆滤波复原、加噪退化和维纳滤波复原。-Image restoration procedures, including motion blur and motion blur restoration, inverse filtering and inverse filtering to recover degraded, noise degradation and restoration Wiener filter.
SSSS
- 通过建立运动模糊数学模型, 进行了消除运动模糊的仿真实验, 维纳滤波恢复运动模糊图像效果较 好。在图像恢复技术中, 点扩展函数( PSF) 是影响图像恢复结果的关键因素, 所以常常利用先验知识和后验判 断方法估计PSF函数来恢复图像。实验表明在实际恢复过程中如果运动模糊图像混入了噪声, 必须考虑到信噪 比、噪声的自相关函数和原始图像的自相关函数对恢复后图像的影响。-Through the establishment of mathematical model of motion
vvvvv
- 图像在获取、传愉和存储过程中, 由于受多种原因如模糊、失真、噪声等的影响, 会造成图像质的下降。维纳滤波是一 种常见的图像复原方法, 该方法的思想是使复原的图像与原图像的均方误差最小原则来复原图像。但是该法其有一定的限 制性, 本文在分析维纳滤波复原图像的基础上, 针对维纳滤波复原过程中产生的振铃效应, 提出了基于维纳滤波图像复原的 改进算法。该葬法通过分析图像的边界条件, 来用对图像边界进行处理的方法, 将图像在边界处对称化。实脸结果表明, 该 方法有效地降低了维纳滤波图像复原
IMGRestoreNew
- 对运动后的图像进行复原,图像运动模糊,逆滤波退化,逆滤波复原,加噪退化,维纳滤波复原-After exercise of the right image restoration, image motion blur, inverse filtering degradation, inverse filter restoration, plus noise degradation, Wiener filter restoration
VCimagetool
- VC++图像处理典型算法全套演示程序的源代码，将众多图像处理功能集合于一个演示程序中，包括很多的图像处理类，像运动模糊恢复类，包含三种方法的运动模糊恢复功能，维纳滤波、逆滤波和投影迭代法 -VC++ image processing algorithms typically complete demo program source code, a number of image processing functions will be set in a demonstration program
OperateDIB
- 图像复原处理，有卷积模糊、卷积加噪模糊、逆滤波复原、维纳滤波复原和傅里叶变换等无个主要功能组成。-Image restoration processing, a convolution blur, convolution and noise fuzzy, inverse filter restoration, Wiener filtering restoration and Fourier transform without major functional components.
IMGRESTORE
- 这是一个在MFC框架中编写的C++程序，可以实现图像的运动模糊、逆滤波退化、加噪退化、维纳滤波复原。-This is a framework written in MFC C++ program, you can achieve the image motion blur, inverse filtering degradation, noise degradation, Wiener filtering restoration.
Wiener-license-plate-
- 本论文讲述了维纳滤波在模糊车牌识别中的应用-The paper describes the application of Wiener filter in the blur License Plate Recognition
tuxiang
- matlab对图像进行运动模糊 以及用维纳滤波 逆滤波还原-matlab and the image motion blur reduction using Wiener filtering inverse filtering
Wiener-filter
- 针对由于抖动和环境干扰造成的拍摄影像模糊问题，利用维纳滤波法进行图像恢复-As for the environmental disturbance caused by jitter and image blur shooting problems, the use of Wiener filtering method for image restoration
E
- 这是一个基于matlab图像复原处理包，其中包括图像的模糊、维纳滤波、盲反卷积、点扩散函数和光学转换函数互相转化-This is a recovery based on matlab image processing package, including blur, Wiener filtering, blind deconvolution, point spread function and optical transfer function is transformed into each
Wiener-filtering
- 本文主要基于退化-恢复模型进行研究，首先对Lena图像加入了Gauss 噪声，并选用中值滤波方法恢复；随后基于运动模糊模型进行退化建模，分别采用几种维纳滤波方法对源图像进行还原。 doc文档中推导了维纳滤波过程，并用matlab实现了了多种维纳滤波器，代码都附在文中。-This article is mainly based on the degradation- the recovery model to study, first joined the Gauss Lena image n
wiener-filter
- 实现wiener滤波对运动噪声模糊图像的复原。-Wiener filtering to achieve motion blur noise image restoration.
work5_3
- 用创建运动模糊图像，维纳滤波实现运动退化图像复原-Creating images with motion blur, Wiener Filtering motion degraded image restoration
Wiener-filtering-image-restoration
- 运动模糊加高斯噪声图像进行逆滤波复原，MSE对复原图像进行评价-Motion blur and gaussian noise image restoration use inverse filtering, MSE uating the restored image
wiener-recovery
- 运动模糊加高斯噪声的图像进行维纳滤波复原，并对其进行改进-Motion blur and gaussian noise of image recovery wiener filtering, and carries on the improvement