Description: 对二维图像进行沃尔什变换,之后用图像的四分之一进行沃尔什反变换来复原图像，并比较误差-Two-dimensional images of the Walsh transform, followed by a quarter of the image to the anti-Walsh transform to recover images, and compare the error Platform: |
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Author:房子 |
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Description: 用解析式定义或矩阵式定义自行编写进行二维DCT和离散沃尔什-哈达玛变换的函数。
在Matlab中对给定图像进行二维离散傅立叶变换，并显示其居中的频谱图，可用Matlab自带函数进行实验。
分别用Matlab自带的dct2()和idct2()对给定图像进行二维DCT变换，并以图像的形式显示其变换系数矩阵。
-And the preparation of two-dimensional DCT is defined analytically discrete Walsh matrix or a self-defined- Hadamard transform function. For a given two-dimensional discrete Fourier transform in Matlab image, and displays its spectrum centered available Matlab function comes experiment. respectively two-dimensional DCT transform for a given image DCT2 comes with Matlab () and idct2 (), and displays an image thereon in the form of matrix transform coefficients. Platform: |
Size: 166912 |
Author:吕文 |
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Description: 一、 计算图象的频谱函数
设计图象120*30/256*256；选用Matlab函数直接调用实现。
二、根据计算证明傅立叶变换的性质
1， 共轭对称性:
F(u,v)=F*(-u,-v) ;
三、图象的频域滤波
1， 设计一个指数低通滤波器，对两图象（f1(x,y)为30*30/256*256的图象；f2(x,y)=p3-02图象）进行低通滤波，观察分析空域图象和频谱分布的变化。
四、图象变换比较
利用现有的离散傅立叶变换、离散余弦变换、Walsh-Hadamard变换对同一图象实施变换，比较三种变换所得到的频谱。(1. The spectral function of the computed image
Design image: 120*30/256* 256; Use Matlab function to call the implementation directly.
The properties of Fourier transform are proved by calculation
1. Conjugate symmetry:
F (u, v) = F * (- u, v);
3. Frequency domain filtering of images
1. Design an exponential low-pass filter with two images (f1 (x,y) as 30*30/256* 256. F2 (x,y)=p3-02 image) to conduct low pass filtering to observe the change of spatial image and spectral distribution.
4. Comparison of image transformation
Using the existing discrete Fourier transform, discrete cosine transform and Walsh-Hadamard transform to transform the same image, compare the spectrum obtained by three kinds of transformations.) Platform: |
Size: 185344 |
Author:LIMBO2K
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