搜索资源列表
AFMM_Inpainting
- 基于快进算法的破损图像修复算法，只要将图像中的破损区域由纯红色标出，该算法即可自动完成对该区域的修复。要求修复图像格式为BMP格式。-algorithm based on fast forward damaged the image restoration algorithms, as long as the image of the region damaged by the pure red mark, The algorithm can automatically complete res
Image_Restoration.rar
- 这个程序可以修复因噪声/噪音干扰或者因抖动产生的失真的图像，Inverse滤波器, Wiener滤波器和Lucy-Richardson滤波器被使用到，同时代码还使用了光学流线分析，估计模糊的长度和角度。,This process could be restored due to noise/noise interference or distortion due to jitter generated images, Inverse filter, Wiener filter and the L
foe_demo
- 专家场做图像的去噪和修复，老外写的，很不错。-Experts to do field image denoising and restoration, written by a foreigner, is pretty good.
Object_Removal_by_Exemplar-Based_Inpainting
- 基于样例的图像修补方法，可以用于移除较大的目标，修复较大的区域。VC++环境，Qiushuang Zhang设计，参见A.Criminisi等人的论文：Object Removal by Exemplar-Based Inpainting.-Based on the sample image repair method can be used to remove larger goal, to repair the larger region. VC++ Environment, Qiushua
inpainting
- 可实现对图片的修复，将残缺部分涂成纯绿色，运行文件即可实现对图像的修复。图像必须为bmp格式。-Can be realized on the image restoration, will be incomplete part of the painted plain green, run the file can be realized on the image repair. Images must be bmp format.
BRPCA
- 本文件中包含的代码是使用Bayesian compressive sensing 理论对图像降噪，修复的程序-his package includes 4 folders. Folder toydata contains core code and demo of the original BRPCA Model Folder MarkovDependency contains core code and demos of the modified BRPCA Model with M
EM2Inpaint00
- 贝叶斯用多余的字典修复二维图像(矩阵)。使用到了EM优化算法。 -Bayesian Inpainting of 2D images (a matrix) using redundant dictionaries，and EM.
342225144NoisenewTVInpaintingTest
- 基于TV模型的图像快速修复自适应方法，欢迎大家分享-TV model based on adaptive methods of image quick fix, please share
HigherOrderTVinpainting
- 基于结构的图像修复，能够对小部分的缺陷进行修复(The image inpainting based on structure can repair a small part of the defect)
Criminisi
- 大面积破损的基于样本块匹配的纹理合成修复图像(Large area damaged texture synthesis restoration image based on sample block matching)
Image Inpainting
- 图像修复算法最经典的算法之一，亲测可用，适合matlab语言(One of the most classical algorithms for image restoration)
x
- 采用傅里叶变换，实现噪声图像的修复，主要内容是通过傅里叶变换构建高通滤波，使用matlab 编程 实现(The main content is to construct high pass filter by Fourier transform and implement it with Matlab programming)
Lowrank
- 修复破损图片，图像修复序列-Lowrank模型(Repair damaged picture, image repair sequence -Lowrank model)
adder1
- tv图像修复算法TV模型最先是由Rudin等人在1992年提出来的，当时是应用于图像的噪声去除处理。Chan等人于2002年首次将该算法引入到图像修复领域，形成了TV 模型图像修复算法。TV 模型涉及数学中的变分法跟泛函的知识，它是依据原始图像的先验知识和不完整的图像数据，建立能量泛函，求解该能量泛函所得到的极值就是修复后的图像。(TV image restoration algorithm)
图像修复Crinisi算法程序
- 经典的图像修复算法。Criminisi算法可以直接调用，只要给出你要修复的照片和制作的掩膜即可
Texture_Synthesis_Image_Inpainting-master
- 通过基于纹理的图像修复算法对具有较大的破损区域的图像进行了修复；MATLAB代码(Texture based image restoration,MATLAB)
PCD
- 这个文件用PCD算法解决压缩感知（构造一个冗余字典用于图像的修复）(Using PCD algorithm to solve compressed sensing (constructing a redundant dictionary for image restoration).)
图像修复
- 获取一张影像，利用掩膜对图像进行修复操作。(Get an image and use the mask to repair the image.)
1、Criminisi彩色图像修复
- 基于c++和matlab的联合编程，适用于大尺寸的影像修复工作(Joint programming based on c++ and MATLAB)
CDD
- 运用的是CDD模型，可以实现图像修复的功能，十分的高效(Using the CDD model, it can realize the function of image restoration, which is very efficient)