I have a numpy array of size 8x8. Here is the numpy array:
QuantTable = np.array([[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, 29, 51, 87, 80, 62],
[24, 35, 55, 64, 81, 109, 103, 77],
[49, 64, 78, 87, 103, 121, 120, 101],
[72, 92, 95, 98, 112, 100, 103, 99]])
I would like to perform the operations on the elements in the array. I have created a function that accepts a scaling factor value and a Numpy Array. Here it is:
def quantizationTable(Qval, QuantTable):
if Qval < 50:
scalingFactor = 5000/Qval
for x in range(QuantTable):
for y in range(QuantTable):
QuantTable[x][y] = ((scalingFactor * QuantTable[x][y] + 50/100)
if QuantTable[x][y] == 0:
QuantTable[x][y] = 1
return QuantTable
else:
scalingFactor = 200 - 2(Qval)
for x in range(QuantTable):
for y in range(QuantTable):
QuantTable[x][y] = ((scalingFactor * QuantTable[x][y] + 50/100)
if QuantTable[x][y] == 0:
QuantTable[x][y] = 1
return QuantTable
I am having trouble iterating over the numpy array and performing my operations. I am trying to apply the formula ((Scaling factor value * element of numpy array + 50)/100) to every element of the numpy array and return the modified array. Can someone please help?