把红外光和可见光通过M通道过采样滤波器组分解为低频子带和高频子带 再通过双边滤波器进行融合 matlab
时间: 2024-05-22 16:12:10 浏览: 16
代码示例:
% 定义红外光和可见光的采样率和信号长度
fs_IR = 1000; % 红外光采样率
fs_Visible = 1000; % 可见光采样率
T = 1; % 信号长度
% 生成红外光和可见光的信号
t = linspace(0, T, T*fs_IR);
IR_signal = 5*sin(2*pi*50*t) + 10*sin(2*pi*100*t) + 2*sin(2*pi*200*t);
t = linspace(0, T, T*fs_Visible);
Visible_signal = 2*sin(2*pi*20*t) + 3*sin(2*pi*50*t) + 5*sin(2*pi*150*t);
% 将两个信号通过M通道过采样滤波器组分解为低频子带和高频子带
M = 4; % 滤波器组数
N = 16; % 每个滤波器的延迟长度
IR_subbands = zeros(M, length(IR_signal));
Visible_subbands = zeros(M, length(Visible_signal));
for i = 1:M
% 生成过采样滤波器
h = fir1(N*M, 1/M, 'low');
% 对红外光和可见光信号进行滤波
IR_filtered = filter(h, 1, IR_signal);
Visible_filtered = filter(h, 1, Visible_signal);
% 分解为低频子带和高频子带
IR_subbands(i,:) = decimate(IR_filtered, M, 'low');
Visible_subbands(i,:) = decimate(Visible_filtered, M, 'low');
end
% 对每个子带进行双边滤波器融合
f_low = 30; % 低通滤波器截止频率
f_high = 200; % 高通滤波器截止频率
IR_fused = zeros(1, length(IR_signal));
Visible_fused = zeros(1, length(Visible_signal));
for i = 1:M
% 生成低通滤波器和高通滤波器
h_low = firls(N, [0 f_low/(fs_IR/2) f_low/(fs_IR/2) 1], [1 1 0 0]);
h_high = firls(N, [0 f_high/(fs_IR/2) f_high/(fs_IR/2) 1], [0 0 1 1]);
% 对红外光和可见光的子带进行滤波
IR_lowpass = filter(h_low, 1, IR_subbands(i,:));
Visible_lowpass = filter(h_low, 1, Visible_subbands(i,:));
IR_highpass = filter(h_high, 1, IR_subbands(i,:));
Visible_highpass = filter(h_high, 1, Visible_subbands(i,:));
% 将低通滤波器和高通滤波器的输出加权融合
alpha = 0.5; % 加权系数
IR_fused = IR_fused + alpha*IR_lowpass + (1-alpha)*IR_highpass;
Visible_fused = Visible_fused + alpha*Visible_lowpass + (1-alpha)*Visible_highpass;
end
% 绘制红外光和可见光信号以及融合后的信号
figure;
subplot(3,1,1);
plot(t, IR_signal);
title('Infrared Signal');
subplot(3,1,2);
plot(t, Visible_signal);
title('Visible Signal');
subplot(3,1,3);
plot(t, IR_fused);
hold on;
plot(t, Visible_fused);
legend('Infrared+Fused', 'Visible+Fused');
title('Fused Signal');