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Phase_Correlation 基于OpenCV和FFTW实现的相位相关图像匹配程序
- 基于OpenCV和FFTW实现的相位相关图像匹配程序,需要OpenCV和FFTW库文件的支持。本程序并没有用到OpenCV中的DFT,而是用了FFTW中的FFT,所以速度要快很多。-Based on OpenCV and the FFTW implementation phase correlation image matching procedures, require OpenCV and FFTW library files. This procedure does not use Ope
DCT
- 用matlab对一张图片进行DFT变换,DCT变换,比较保留20个DCT变换系数重构的图象与原始图像的差别.-Using matlab on a picture to DFT transform, DCT transform, compared to 20 DCT transform coefficients to retain the image reconstruction of the difference between the original image.
matlab-code
- 对数字图像处理中的离散傅里叶变换(DFT),离散余弦变换(DCT)进行了详细的分析。其中DFT包括log视觉处理,中心点移动等。DCT包括分块处理,和保留较少系数,并比较结果。-Digital image processing of the discrete Fourier transform (DFT), discrete cosine transform (DCT) for a detailed analysis. DFT which include the log of visual pr
dft
- 低通滤波器,对图像滤波。采用opencv。其中包含二维高斯低通滤波器,衰减系数为2的二维指数低通滤波器,2阶巴特沃思低通滤波器,二维理想低通滤波器-Low-pass filter, the image filtering. Using opencv. Which contains two-dimensional Gaussian low-pass filter, the attenuation factor of 2 two-dimensional index of low-pass filte
yanyan
- 把一个256*256的图像分成8*8小块,然后进行DFT变换,分别比较在空间域和频域内对图像进行二次抽样和差值最后得出的图像比较-1. Get a grey level image which size is N*N. (For example, 256*256, however, N = ), and partition to 8*8 sub images. 2. Apply DFT to these sub images, and get the fourier transfo
W-Filter
- 程序包括有维纳滤波,中值滤波,高斯变换,DFT变换等等图像滤波源代码-Procedures include Wiener filtering, median filtering, Gaussian transform, DFT transform source image filtering, etc.
dft
- 以图像中心为原点,调整傅立叶变换图像的四个象限区,即第一和第三象限交换,第二和第四象限交换-Center for the origin of image, adjusting the Fourier transform images of the four quadrant areas, that is, first and third quadrant exchange, exchange of second and fourth quadrant
pic393
- 频域法加入数字水印的原理是首先将原始信号(语音一维信号、图像二维信号)变换到频域,常用的变换一般有DWT、DCT、DFT、WP和分形。然后,对加入了水印信息的信号进行频域反变换(IDWT、IDCT、DFT、WP),得到含有水印信息的信号。-Frequency-domain digital watermarking method by adding the principle is that first of all, the original signal (voice signal of on
dftconv
- 数字信号处理:实现对32点矩形序列和x(n)=n+1序列分别进行DFT,两者线形卷积,原序列补点至63点后的DFT和对DFT乘积的IDFT。显示为数值和坐标轴中的图像。vista系统不能看图。在win-c下编译,c语言-Digital signal processing: to achieve 32 points, rectangular sequence and x (n) = n+1 sequences were carried out DFT, linear convolution bet
1
- 将一幅256*256的图像分成8*8的小块,对其进行DFT变换。分别比较在空间域和频域内对源图像进行二次抽样和差值最后比较不同-1. Get a grey level image which size is N*N. (For example, 256*256, however, N = ), and partition to 8*8 sub images. 2. Apply DFT to these sub images, and get the fourier transfor
DFT
- 用离散傅立叶方法实现图像压缩,得到误差图像-image compression
DIP
- A simple Image Processing program using Csharp, including DFT and Inverse DFT
DFT
- 用OpenCV在VC++6.0中对jpg图像进行傅立叶变换,输入灰度图像,程序会对其进行DFT变换,并输出频域图像.-In VC++6.0 using OpenCV on the jpg image in Fourier transform, input grayscale image, the program will conduct its DFT transform, and output frequency domain image.
DFT
- 编写一个matlab函数用一个N点离散傅里叶变换同时计算两个N点实序列的离散傅里 叶变换,并将结果与直接使用两个N点离散傅里叶变换计算出来的结果进行比较-Write a matlab function with an N point discrete Fourier transform and calculate actual sequence of two N point discrete Fourier transform, and the results with the direct u
DFT_and_DCT
- 对一幅图像进行DCT与DFT变换,分析变换后的高低频分量系数-DCT and DFT on an image, analysis of high frequency components of the transformed coefficient
image_dft
- 不使用MATLAB内置函数作图片的离散傅里叶变换-This program finds the DFT of an image without using the inbuilt function in matlab
MainCode
- matlab code that make an image with capability of rotataing, shifting, .. and compute 2-d DFT.
Imageencryption
- 这个工程实现了红绿蓝三个分量的提取,采用了新的方法,比传统的方法要清楚些,并且对红色分量做了DFT变换,用模版来对图像进行加密,为图像加密提供了一种新的思路。代码免费下载,功能优。-The project implements the extraction of three components red, green and blue, using a new method to make it clear than the more traditional methods, and compo
DFT
- 基于红外的图像分割,描述了红外图像的特点及一些分割所注意-Infrared image segmentation based on describing the characteristics of the infrared images and some division of attention
assign3_m100295cs
- a) On sample artificial, 8X8 / 16X16 images, take the DFT, DCT, WT, & HT. Print the image & transform matrix side by side b) Repeat the above on real images of size 256X256, and display the transform coefficients as 8-bit intensity images along