def main():
img = cv2.imread('Lenna.jpg', 3)
print(img.shape)
img = tr.RGB2YCBCR(img)
Y, Cr, Cb = cv2.split(img)
pathlib.Path('./SecondAttempt').mkdir(parents=True, exist_ok=True)
(Sl, (Sh1, Sv1, Sd1), (Sh2, Sv2, Sd2)) = pywt.wavedec2(Y, 'db1', level=2)
ReducedCb = downscale_local_mean(Cb, (2, 2))
ReducedCr = downscale_local_mean(Cr, (2, 2))
CbPlus = ReducedCb
CbMinus = ReducedCb
for i in range(0, ReducedCb.shape[0]):
for j in range(0, ReducedCb.shape[1]):
if ReducedCb[i, j] < 0:
CbPlus[i, j] = 0
elif ReducedCb[i, j] > 0:
CbMinus[i, j] = 0
CrPlus = ReducedCr
CrMinus = ReducedCr
for i in range(0, ReducedCr.shape[0]):
for j in range(0, ReducedCr.shape[1]):
if ReducedCr[i, j] < 0:
CrPlus[i, j] = 0
elif ReducedCb[i, j] > 0:
CrMinus[i, j] = 0
ReducedCbMinus = downscale_local_mean(CbMinus, (2, 2))
# Sd1 = ReducedCbMinus
# Sh2 = CrPlus
# Sv2 = CbPlus
# Sd2 = CrMinus
NewYSecondTry = pywt.waverec2(
(Sl, (Sh1, Sv1, ReducedCbMinus), (CrPlus, CbPlus, CrMinus)), 'db1')
cv2.imwrite("./SecondAttempt/NewYSecondTry.jpg", NewYSecondTry)
cv2.waitKey(0)
cv2.destroyAllWindows()
h = hf.Halftone('./SecondAttempt/NewYSecondTry.jpg')
h.make(angles=[0, 15, 30, 45],
antialias=True,
percentage=10,
sample=1,
scale=2,
style='grayscale')
def main():
img = cv2.imread('Lenna.jpg', 3)
img = tr.RGB2YCBCR(img)
Y, Cr, Cb = cv2.split(img)
print(Y.shape)
pathlib.Path('./FirstAttempt').mkdir(parents=True, exist_ok=True)
cv2.imwrite("./FirstAttempt/OldY.jpg", Y)
cv2.waitKey(0)
cv2.destroyAllWindows()
(Sl, (Sh, Sv, Sd)) = pywt.dwt2(Y, 'haar')
ReducedCb = downscale_local_mean(Cb, (2, 2))
ReducedCr = downscale_local_mean(Cr, (2, 2))
# Sh = ReducedCb
# Sv = ReducedCr
NewY = pywt.idwt2((Sl, (ReducedCb, ReducedCr, Sd)), 'haar')
cv2.imwrite("./FirstAttempt/NewYFirstTry.jpg", NewY)
cv2.waitKey(0)
cv2.destroyAllWindows()
h = hf.Halftone('./FirstAttempt/NewYFirstTry.jpg')
h.make(angles=[0, 15, 30, 45],
antialias=True,
percentage=10,
sample=1,
scale=2,
style='grayscale')
