Gaussian noise 源代码

I=imread('eight.tif'); imshow(I) ; J1=imnoise(I,'gaussian',0,0.02); % 叠加均值为0，方差为0.02的高斯噪声，可以用 …

I=imread('eight.tif'); imshow(I) ; J1=imnoise(I,'gaussian',0,0.02); % 叠加均值为0，方差为0.02的高斯噪声，可以用 …

clear all; close all; b=0.5; c=5; ts=0.001; for k=1:1:10000 t(k)=k*ts; E(k)=200*exp(-(t(k)-c)^2/(2*b^2)); end fig…

I = imread('saturn.tif'); J = imnoise(I,'gaussian', 0,0.005); figure,imshow(J) h = fspecial('gaussian'); K=filter2(h,J)/255; …

I=imread('eight.tif'); imshow(I) ; J1=imnoise(I,'gaussian',0,0.02); % 叠加均值为0，方差为0.02的高斯噪声，可以用 …

function display(pot) disp('conditional Gaussian potential object'); disp(struct(pot));

function display(pot) disp('moment Gaussian potential object'); disp(struct(pot));

I = imread('saturn.tif'); J = imnoise(I,'gaussian', 0,0.005); figure,imshow(J) h = fspecial('gaussian'); K=filter2(h,J)/255; …

I=imread('eight.tif'); imshow(I) ; J1=imnoise(I,'gaussian',0,0.02); % 叠加均值为0，方差为0.02的高斯噪声，可以用 …

function W=gaussker(N); % W=gaussker(N); % returns NxN Gaussian kernel g=2^(1-N)*diag(fliplr(pascal(N))); W=g*g';