I wonder if it would be possible with machine learning to find out how data can be recovered after re-encoding an image using different encoders. This would ens

I wonder if it would be possible with machine learning to find out how data can be recovered after re-encoding an image using different encoders. This would ensure no loss of data. Least significant bit stenography must be very fragile. Some other methods are listed here: https://en.wikipedia.org/wiki/Steganography_tools#Carrier_engine https://en.wikipedia.org/wiki/Steganography_tools#Carrier_en...