你好我需要为一个块执行图像的dct系数的量化 在matlab中大小为8 * 8像素。你能帮我解释一下语法吗,谢谢你。
答案 0 :(得分:1)
MATLAB中有一个用于DCT的内置函数。
您需要信号处理工具箱。在MATLAB命令中键入'ver'(不带引号)以查看是否有它。
代码:
image = image; % define your image
[m,n] = size(image); % get size of your image
imvector = reshape(image, m*n, 1); % reshape your image to a vector to compute DCT
imdct = dct(imvector); % compute DCT
imagedct = reshape(imdct,m,n); \ reshape result back to original form of your image
答案 1 :(得分:1)
帮助文件中也有一个例子非常好:
I = imread('cameraman.tif');
I = im2double(I);
T = dctmtx(8);
dct = @(block_struct) T * block_struct.data * T';
B = blockproc(I,[8 8],dct);
mask = [1 1 1 1 0 0 0 0
1 1 1 0 0 0 0 0
1 1 0 0 0 0 0 0
1 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0];
B2 = blockproc(B,[8 8],@(block_struct) mask .* block_struct.data);
invdct = @(block_struct) T' * block_struct.data * T;
I2 = blockproc(B2,[8 8],invdct);
imshow(I), figure, imshow(I2)
答案 2 :(得分:0)
要量化DCT系数,您只需将每个系数除以量化项并舍入为整数。量化项对于每个系数通常是唯一的,并且存储在量化矩阵中。
Wikipedia has a nice example.以下是如何在Matlab中实现该示例。
coef = [
-415 -33 -58 35 58 -51 -15 -12;
5 -34 49 18 27 1 -5 3;
-46 14 80 -35 -50 19 7 -18;
-53 21 34 -20 2 34 36 12;
9 -2 9 -5 -32 -15 45 37;
-8 15 -16 7 -8 11 4 7;
19 -28 -2 -26 -2 7 -44 -21;
18 25 -12 -44 35 48 -37 -3
];
quant = [
16 11 10 16 24 40 51 61;
12 12 14 19 26 58 60 55;
14 13 16 24 40 57 69 56;
14 17 22 29 51 87 80 62;
18 22 37 56 68 109 103 77;
24 35 55 64 81 104 113 92;
49 64 78 87 103 121 120 101;
72 92 95 98 112 100 103 99
];
quantCoef = round(coef ./ quant)
quantCoef =
-26 -3 -6 2 2 -1 0 0
0 -3 4 1 1 0 0 0
-3 1 5 -1 -1 0 0 0
-4 1 2 -1 0 0 0 0
1 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0
答案 3 :(得分:0)
malloc