I haven’t fully understood how qtdecomp works…
I = [1 1 1 1 2 3 6 6
1 1 2 1 4 5 6 8
1 1 1 1 10 15 7 7
1 1 1 1 20 25 7 7
20 22 20 22 1 2 3 4
20 22 22 20 5 6 7 8
20 22 20 20 9 10 11 12
22 22 20 20 13 14 15 16];
S = qtdecomp(I,2);
disp(full(S));
The results of this are:
4 0 0 0 1 1 2 0
0 0 0 0 1 1 0 0
0 0 0 0 1 1 2 0
0 0 0 0 1 1 0 0
4 0 0 0 1 1 1 1
0 0 0 0 1 1 1 1
0 0 0 0 1 1 1 1
0 0 0 0 1 1 1 1
in the left bottom 4*4 matrix, maximum value (22) of the block elements minus the minimum value (20) is 2, so when decomposing this part, it will left as is.
When I do this on a uint8 matrix:
I = uint8([...
1 1 1 1 2 3 6 6
1 1 2 1 4 5 6 8
1 1 1 1 10 15 7 7
1 1 1 1 20 25 7 7
20 22 20 22 1 2 3 4
20 22 22 20 5 6 7 8
20 22 20 20 9 10 11 12
22 22 20 20 13 14 15 16]);
S = qtdecomp(I,2/255);
disp(full(S));
the answer is just like before. But when I change S to this:
S = qtdecomp(I,1.9/255);
The answer is
4 0 0 0 1 1 2 0
0 0 0 0 1 1 0 0
0 0 0 0 1 1 2 0
0 0 0 0 1 1 0 0
4 0 0 0 1 1 1 1
0 0 0 0 1 1 1 1
0 0 0 0 1 1 1 1
0 0 0 0 1 1 1 1
I suppose the left bottom 4*4 matrix should decompose, but why doesn’t it?
What matlab does here is when
Iis uint8 it multiples the threshold by 255 and rounds it, so 1.9/255 is evaluated to 2.You can see this by opening the source code for
qtdecomp(by pressing ctrl+D) or here. There’s an if/elseif near the end of the file (params{1} = round(255 * params{1});).You should be able to use
S = qtdecomp(I,1/255);to get the result you are looking for.