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图像高斯模糊处理
- 此vc++程序可实现图像高斯模糊处理和复原。-this procedure can be realized Gaussian fuzzy image processing and recovery.
advanceCimage2
- 很多高级一点的图形图像处理程序，对图像进行傅立叶变换处理（图像变换）,进行高斯模糊处理（图像复原）,加入随机噪声,基于C＋＋开发，希望大家能用得着（－－）-many senior point graphics processing images on Fourier transform (Image Transform), Gaussian fuzzy processing (Image Restoration), by adding random noise, based on C + + d
Gaosimohuchuli
- 对图像进行高斯模糊处理的源代码环境： Windows/Linux 大小： 43KB -right Gaussian fuzzy images of the source code environment : Windows / Linux Size : 43KB
RightGaussianfuzzyimageprocessing(imagerecovery)co
- 对图象进行高斯模糊处理(图象复原)的经典V代码，其他的不多说了-right Gaussian fuzzy image processing (image recovery) of the classic V code, the other said a few
imgpro19842
- 对图像进行高斯模糊处理（图像复原）的源代码，以及对图像进行直方图均衡化处理的源代码-right Gaussian fuzzy image processing (image recovery) of source code, and the image histogram equalization deal with the source code
MypicD1
- 该代码是对图形图像进行处理，功能齐全，有哈弗变换，高斯模板，模糊锐化等。-The code is a graphic image processing, full-featured, with Haversian transform, Gaussian template, such as fuzzy sharpening.
vcmhphoto
- VC++对一幅图像进行高斯平滑模糊处理，效果不错，可以实现类似photoshop中的高斯模糊滤镜的效果，对VC编写图像处理软件的朋友很有帮助。 -VC++ on an image of fuzzy Gaussian smoothing treatment, good results can be achieved similar to photoshop the Gaussian blur filter effect, on the VC image processing software
fuzzy
- 基于C#的模糊雾化处理。 高斯雾化 C #-based processing of fuzzy atomization. Gaussian Atomization-C#-based processing of fuzzy atomization. Gaussian atomization C#-based processing of fuzzy atomization. Gaussian Atomization
KFCMClust
- 核模糊C均值算法，利用高斯核实现映射，以改进FCM算法，实现分割。-Kernel fuzzy c-means algorithm, using gaussian kernel realize mapping, to improve FCM algorithm, realize division.
vcphotoboth
- VC++处理图像模糊或柔化的效果示例源程序，类似Photoshop中的图像高斯模糊效果，每点击一次鼠标右键，程序为模糊一次，直到你满意为止。注意程序仅实现了模糊的功能，其它功能比如程序优化和效率方面的考虑还比较少，因此程序运行速度方面可能会欠缺一些。-VC++ image processing blur or soften the effect of sample source code, similar to the image in Photoshop Gaussian blur, ever
apex_ditecpsf
- 很好的APEX盲恢复程序，用于图像去模糊处理，适用于常见模糊，如高斯模糊、柯西模糊、大气湍流等-Very good APEX blind recovery procedures, used in image to fuzzy processing, apply to common fuzzy, such as a gaussian blur, cauchy fuzzy, atmospheric turbulence, etc
Gaussian-filter
- 图像模糊化处理用的高斯滤波器，共两个文件，一个主函数，一个功能函数。-Gaussian filter for the fuzzy image processing, a total of two files, a primary function of a performance function.
Digital-iamge_MFC
- 运用C实现了数字图像的一些基本算法，包括canny edge detection,阈值变换，维纳滤波，直方图均衡，图像细化，旋转，图像配准，图像分割kmeans, isodata, fuzzy c means, fuzzy clustering, mrf image seg, 图像浏览，road svm using matlab, snakes matlab, anistropic gaussian filter-Canny edge detection, threshold transform
all
- 图像退化模糊图画加高斯噪声，经中值滤波器后恢复；退化图像经维纳滤波器后恢复。中值滤波，维纳滤波复原图像比较-The image degradation fuzzy picture plus Gaussian noise, and recover after a median filter restore the degraded image by the Wiener filter. Median filtering, Wiener filter restoration image
Wiener_image-restoration
- 将一幅的灰度图像用平均滤波器进行模糊，分别再加上一定的高斯噪声和均匀噪声，然后，用设计的滤波器进行对上述两幅图像进行复原，并计算两幅图像复原前后的PSNR。-A gray-scale image with the average filter fuzzy, respectively, plus a Gaussian noise and uniform noise, and then, with filters designed to recover the two images, and cal
Digitalimage-recovery
- 数字图像的退化与复原，通过高斯噪声模糊，然后用维纳滤波器等进行恢复-Digital image degradation and recovery, through fuzzy Gaussian noise, then resume with the Wiener filter, etc.
image2
- 对模糊图像进行处理（高斯模糊），并对模糊的长度进行比较，最后对模糊的图像进行维纳滤波-Fuzzy image processing (Gaussian Blur), and compare the length of fuzzy , in the last blurred images Wiener filter
DoG
- 高斯模糊是一种图像滤波器，它使用正态分布(高斯函数)计算模糊模板，并使用该模板与原图像做卷积运算，达到模糊图像的目的-Gaussian blur filter is a kind of image, it uses the normal distribution (gaussian function) to calculate fuzzy template, and use the template and the original image for convolution operation
Inverse-filtering--image-recovery
- 运动模糊加噪声图像逆滤波复原，加入高斯白噪声以及运动模糊模型，使用逆滤波复原-Inverse filtering motion blur and noise image restoration, add white gaussian noise and fuzzy model, using the inverse filtering
blur_test
- 包含了三个图像处理函数，其一是图像叠加产生模糊效果，其二是与高斯算子做卷积，其三是模糊增强。另外，还包含了在同一个界面上同时显示多幅图像的函数，便于观察输出。(Contains three image processing functions, one is the image overlay to produce fuzzy effect, the second is to do with the Gaussian operator convolution, the third is fuzz