使用MATLAB对数据进行位操作以及RGB图片显示

fd = fopen('video_test_pattern_avalon_generator_source_data.txt');              //打开像素源文件
A = fscanf(fd,'%d');   //读入文件中的数据
fclose(fd);
%先申明向量用于存储数据
B = zeros(224,224);
C = zeros(224,224);
R1 = zeros(50176,1);
R2 = zeros(50176,1);
R3 = zeros(224,224);
G1 = zeros(50176,1);
G2 = zeros(50176,1);
G3 = zeros(224,224);
B1 = zeros(50176,1);
B2 = zeros(224,224);

for j = 1:224
    for i = 1:224
        B(j,i) = A((j-1)*224+i);
    end
end

% 24-Bit RGB数据结构
% R---1111 1111 --- 0000 0000 --- 0000 0000  = 16711680
% G---0000 0000 --- 1111 1111 --- 0000 0000  = 65280
% B---0000 0000 --- 0000 0000 --- 1111 1111  = 255

%---R
for i = 1:50176
    R1(i) = bitand(A(i),16711680);           //与操作，得到数据的高8位
end

for i = 1:50176
    R2(i) = bitshift(R1(i),-16);             //移位操作，将数据向右移动16位
end

for j = 1:224
    for i = 1:224
        R3(j,i) = R2((j-1)*224+i);           //将数据还原成二维矩阵224X224格式
    end
end

%---G
for i = 1:50176
    G1(i) = bitand(A(i),65280);
end

for i = 1:50176
    G2(i) = bitshift(G1(i),-8);
end

for j = 1:224
    for i = 1:224
        G3(j,i) = G2((j-1)*224+i);
    end
end

%---B
for i = 1:50176
    B1(i) = bitand(A(i),255);
end

for j = 1:224
    for i = 1:224
        B2(j,i) = B1((j-1)*224+i);
    end
end

%---display
image(:,:,1) = R3;                               //将RGB源信息存在3维数组中
image(:,:,2) = G3;
image(:,:,3) = B2;
imshow(uint8(image));                            //将3维数组信息转化为uint8格式，并显示成图片

Matlab位运算函数：

　

例子：

a = 60; % 60 = 0011 1100   
b = 13; % 13 = 0000 1101 
c = bitand(a, b)      % 12 = 0000 1100  
c = bitor(a, b)       % 61 = 0011 1101 
c = bitxor(a, b)      % 49 = 0011 0001 
c = bitshift(a, 2)    % 240 = 1111 0000 */
c = bitshift(a,-2)    % 15 = 0000 1111 */

运行结果：

c =
    12
c =
    61
c =
    49
c =
   240
c =
    15