1 function w = dwt2D(x, J, af)
3 % discrete 2-D wavelet transform
6 % w = dwt2D(x, stages, af)
9 % 1) M, N are both even
10 % 2) min(M,N) >= 2^(J-1)*length(af)
11 % J - number of stages
12 % af - analysis filters
14 % w - cell array of wavelet coefficients
24 % WAVELET SOFTWARE AT POLYTECHNIC UNIVERSITY, BROOKLYN, NY
25 % http://taco.poly.edu/WaveletSoftware/
28 [x w{k}] = afb2D(x, af, af);