搜索资源列表
GAUSS
- 图像处理之高斯模糊，较简易方法，共参考，C#-Image processing of the Gaussian blur, a simpler method, a total of reference, C#
gauss
- 对图像进行高斯模糊处理的程序，用c++编写的-Gaussian blur image processing procedures, with c++ Prepared
Gauss
- 利用高斯模糊算法对图像进行高斯模糊处理的源代码，效果不错-Gaussian blur to the image of the source code
gaussian
- Gaussian Blur use in image processing and low pass filter.in this source first calculate Gauss Kernel .
picture-gauss
- 图像识别算法的一部分。有PS高斯模糊、锐化、阙知、变形、提线等各种图像算法。还有图像的DCT变换的快速算法。-Part of the image recognition algorithm. PS Gaussian blur, sharpen, Que know, deformation, mentioning lines and other image algorithms. Fast algorithm for image DCT transform.
Filtering
- Gauss, Blur, Contrast, Negative
gauss
- 对图像进行高斯模糊处理（图像复原）的源代码，编译后的可执行文件须带参数运行-Gaussian blur image processing (image restoration) of the source code, compiled executable file carry operation parameters
gaussian_blur
- 高斯模糊---算法时间与半径无关 sse-Gauss Blur
gaussblur
- 双边滤波、高斯模糊的C++实现，不依靠任何库，读取bmp图像文件。-Bilateral filting, gauss blur
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
OpencvFile
- 图像的基本处理包括7个CPP文件分别是图像简单读取，图像灰度化，图像对比度亮度调节，图片旋转高斯模糊及2个去雾霾程序都是利用VS2015+Opencv3.2实现-The basic processing of the image includes 7 CPP files are simple to read the image, image grayscale, image contrast brightness adjustment, image rotation Gauss blur and
复原代码
- 图像复原代码组。包括滤波处理高斯噪声，运动模糊的添加，维纳滤波去模糊，约束最小二乘法复原图像等代码。(mage restoration code group. Including filtering, processing, Gauss noise, motion blur add, Wiener filter deblurring, constrained least squares, restore images and other code.)
halcon-添加高斯模糊
- 用halcon给图像添加高斯模糊，可运行已调试，可作为学习参考(Adding Gauss blur to the image by Halcon can be debugged and can be used as a learning reference)
matlab image GUI
- 一个基于matlab GUI的图像处理程序，高斯模糊，图像几何变化，gamma变化，直方图等(An image processing program based on MATLAB GUI, Gauss blur, gamma change, histogram, etc.)