Image Hiding QR decomposition

from PIL import Image
from numpy import asarray
import numpy as np

import os
os.system("cls")

def image2Matrix(img):
    sample = Image.open(img)

    # Resing image to fix size
    sample = sample.resize((400,400))

    # Converting image to numpy array
    npData = asarray(sample)
    return npData

alpha = 10

####################### Embedding starts ###################

# Input cover image scan
numpyDataCover = image2Matrix("Sample.png")

# QR decomposition for cover image
Qc, Rc = np.linalg.qr(numpyDataCover)

# Input secret image scan
numpyDataSecret = image2Matrix("Sample3.png")

# QR decomposition for image 2
Qs, Rs = np.linalg.qr(numpyDataSecret)

# Embedding both matrix
Rn = Rc + alpha*Rs

# Producing Stego image
Si = np.matmul(Qc, Rn)


####################### Extraction starts ###################

# Matrix QR decomposition
Qsi, Rsi = np.linalg.qr(Si)

# Extracting the embedded matrix
Rnew = (Rsi-Rc)/alpha

# Output secret image
secretImage = np.matmul(Qs, Rnew)

# Secret image from array
pilImage = Image.fromarray((secretImage).astype(np.uint8))
pilImage.show()