搜索资源列表
matlab-Imagerecover
- 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 matlab-based image restoration processing package, including the images fuzzy, Wiener filtering, blind deconvolution, point spread function and optical transfer function to transform
a
- 数字图像处理相关程序MATLAB，和结果解析 内插 图像复原 频率分析等-Digital image processing procedures MATLAB, and results of analytical interpolation of the frequency analysis, image restoration. .
zxl
- 利用维纳图像复原，并采用直接逆滤波、信噪比维纳滤波、自相关函数维纳滤波、中值滤波进行横向、纵向比较-Image restoration using Wiener and direct inverse filtering, Wiener filtering noise ratio, since the correlation function Wiener filtering, median filtering for horizontal, vertical comparison
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
tuxiangfuyuan
- 数字图像处理姚敏版第五章图像复原所有例子的完整matlab代码 可以正确运行-Yao Min version of Digital Image Processing chapter of all examples of image restoration complete matlab code can be correctly
code1
- 毕业设计：基于MATLAB的图像复原算法研究的源代码-Graduation: MATLAB-based image restoration algorithm source code
Waveletsforimagefusion
- 小波图像处理，图像滤波，图像复原，图像融合等VC开发的源代码-Wavelet image processing, image filtering, image restoration, image fusion, such as the development of source code VC
Visual C++ for image processing -v2
- 《 Visual C++数字图像处理（第二版）》一书源代码 该书主要讲述如何使用Visual C++进行数字图像处理。全书共11章，分别介绍了图像的点运算、几何变换、正交变换、图像增强、腐蚀算法、膨胀算法、细化算法、边缘检测与提取、轮廓跟踪、图像分析、图像复原和图像的压缩编码技术，对每种常用的数字图像处理方法，本书都提供了完整的源代码。 本书内容丰富，叙述详细，实用性强，适合于数字图像处理工作者阅读参考。- How "Visual C Numeral Picture Processing (Se
ch8_4_2
- 用matlab编写的图像复原源代码，采用维纳滤波复原技术，可对模糊和加噪的图像实现精确复原。-Prepared using matlab source code image restoration using Wiener filter restoration technology, can be vague and processors realize accurate image noise resilience.
Fourteen
- 第十四章 图像复原 14.1 退化模型 14.1.1 连续退化模型 14.1.2 离散退化模型 14.2 复原的代数方法 14.2.1 代数复原原理 14.2.2 逆滤波复原 14.2.3 最小二乘方滤波 14.3 MATLAB 实现图像复原 14.3.1 维纳滤波复原 14.3.2 规则化滤波复原 14.3.3 Lucy-Richardson 复原 14.3.4 盲去卷积复原 14.3.5 图像复原的其它 MATLA
PicturePro
- 这是用ＶＣ＋＋编写的图像处理源程序，可以实现各种图像处理操作，如锐化，边缘提取，图像分析，图像复原等。-This is with VC to prepare the image processing source code, can achieve a variety of image processing operations such as sharpening, edge extraction, image analysis, image and recover.
IMGRestore
- 用VC实现的图像复原的多种方法，如运动模糊图像复原、逆滤波复原等。-VC achieved with a variety of image restoration methods, such as motion-blurred image restoration, inverse filtering and recover.
Tuxiangchuli
- 较全面的图像处理程序，功能有:种子填充,阈值分割,图像复原,模板匹配,轮廓提取与跟踪-A more comprehensive image processing procedures, functions: seed filling, threshold segmentation, image restoration, template matching, contour extraction and tracking
tuxiangchuli
- 此源程序是用VC开发的源码功能强大 有图像变换，图像增强，图像复原和图像分割等数字图像处理功能-This source code is developed using VC powerful source has image transform, image enhancement, image restoration and image segmentation, such as digital image processing functions
IMGRestore
- 实现图像复原的算法,VC++6环境下开发.-The realization of image restoration algorithm, VC++ 6 development environment.
Aimagerestoratedmethodusingaperturecoded
- 一种基于孔径编码的图像复原方法，效果非常好，不过缺陷是需要知道PSF等先验知识-Based on coded aperture image restoration method, the effect is very good, but the deficiencies need to know a priori knowledge of PSF, etc.
maximumentropy
- 最大熵图像复原方法，效果还好，这是最近努力的结果，不过或许需要适当的改进之后会有更好的结果，分享一下-Maximum entropy image restoration method, the effect Fortunately, this is the result of recent efforts, but may need to be appropriate to improve after the better results, share
3
- 摘要:为了提高图像复原算法的性能 ,提出了一种改进的奇异值分解法估计图像的点扩散函数。从图像的退化离散模型 出发 ,对图像进行逐层分块奇异值分解 ,并自动选取奇异值重组阶数以减少噪声对估计的影响。利用理想图像奇异值向 量平均能谱指数模型 ,估计点扩散函数奇异值向量的频谱 ,再反傅里叶变换得到其时域结果。实验结果表明 ,该方法能 在不同信噪比情况下估计成像系统的点扩散函数 ,估计结果比原有估计方法有所提高 ,有望为图像复原算法的预处理提 供一种有效的手段。-Abstract : T
image_restoration
- 几篇不错的有关于图像复原领域的文章，可以参考-Have a few good about the field of image restoration article, can refer to
ImageProcessing
- Hough变换，边缘检测，差影法，轮廓提取与跟踪，模板匹配，投影法，图像复原，阈值分割和种子填充的源码。-Hough transform, edge detection, bad video method, contour extraction and tracking, template matching, projection method, image recovery, threshold segmentation of the source and seed filling.