Algorithm 2: Extraction

1: Retrieve the compressed image from the medical database and perform wavelet decompression. trans = decompress (Z)

2: Apply Inverse DWT (IDWT). $$i\left(t\right)={{\displaystyle \sum }}_a{{\displaystyle \sum }}_b{I}_{DWT}\left(a,b\right)\left[2^{-a/2}\psi \left(2^{-a}t-b\right)\right]$$ (3)

3: Extract the red, blue, and green components from the reconstructed image, and combine them.

4: Make the image matrix traversable by adding an extra row or column and pad with the value ‘256′.

5: Apply the KT to extract the LSB values from the pixels of the image traversing in an ‘L’ pattern.

6: Delete the extra padded row or column.

7: Convert the obtained binary bits to ASCII values and the character. Binary (D) = ASCII (D) = char (D) = D

8: Update the patient data = D and medical image = X.