def current_reference(Y1,
Y2,
cout,
pixel,
prob_residual,
prob_motion,
codebook_residual=None,
codebook_motion=None):
_block = Block()
global compressed
# convert uint8 to int32
Y1 = np.int32(Y1)
Y2 = np.int32(Y2)
Mvector, Ry = _block.Intercoding(Y1, Y2, pixel, macro)
for vec in Mvector:
prob_motion[
vec] = 0 if vec not in prob_motion else prob_motion[vec] + 1
if codebook_motion:
compressed += "".join(entropyCoding(codebook_motion, Mvector))
# print Ry
DCT_Ry = _block.DCT(Ry, pixel)
# print DCT_Ry.dtype
Rys = blockshaped(DCT_Ry, pixel, pixel)
IRys = Rys.copy()
for i, Ry in enumerate(Rys):
Quantised_Ry = quantise(Ry)
reordered_Ry = reorder(prob_residual, Quantised_Ry)
if codebook_residual:
compressed += "".join(
entropyCoding(codebook_residual, reordered_Ry))
inverse_reordered_Ry = inverseReorder(reordered_Ry)
Dequantised_Ry = rescale(Quantised_Ry)
IRys[i] = Dequantised_Ry
IRys = mergeshaped(IRys, height, width)
# print DCT_Ry
IDCT_Ry = _block.IDCT(IRys, pixel)
# print IDCT_Ry.dtype
# print IDCT_Ry
D_img = _block.Reconstruct(Y2, IDCT_Ry, Mvector, pixel)
return D_img
def current_reference(Y1, Y2, cout, pixel):
_block = Block()
# convert uint8 to int32
Y1 = np.int32(Y1)
Y2 = np.int32(Y2)
Mvector, Ry = _block.Intercoding(Y1, Y2, pixel, macro)
DCT_Ry = _block.DCT(Ry, pixel)
IDCT_Ry = _block.IDCT(DCT_Ry, pixel)
D_img = _block.Reconstruct(Y2, IDCT_Ry, Mvector, pixel)
return D_img
