Matlab实验,图形处理相关,包括灰度线性非线性变换,dct图像压缩,均值中值滤波

[test3_gaus.m]

%test3

clc;close all;clear all;

im = imread('alies.jpg');im = im2double(im);

%加入高斯噪声和高斯噪声

im_gaus = imnoise(im, 'gaussian', 0.1);

%中值滤波(2x2, 4x4, 8x8)

for z = 1:3

%高斯噪声

im_gaus_mid_2x2(:,:,z) = medfilt2(im_gaus(:,:,z), [2, 2]); im_gaus_mid_4x4(:,:,z) = medfilt2(im_gaus(:,:,z), [4, 4]); im_gaus_mid_8x8(:,:,z) = medfilt2(im_gaus(:,:,z), [8, 8]); end

%均值滤波(2x2, 4x4, 8x8)

mask1 = ones(2, 2)/4;

mask2 = ones(4, 4)/16;

mask3 = ones(8, 8)/64;

for z = 1:3

%高斯噪声

im_gaus_avg_2x2(:,:,z) = conv2(im_gaus(:,:,z), mask1); im_gaus_avg_4x4(:,:,z) = conv2(im_gaus(:,:,z), mask2); im_gaus_avg_8x8(:,:,z) = conv2(im_gaus(:,:,z), mask3); end

figure('name', '高斯噪声滤波');

subplot(331);

imshow(im);title('原图');

subplot(333);

imshow(im_gaus);title('高斯噪声');

subplot(334);