A new COVID-19 medical image steganography based on dual encrypted data insertion into minimum mean intensity window of LSB of X-ray scans
Subhaluxmi Sahoo, Sony Snigdha Sahoo · 2020
Image steganography is a new domain where message is inserted into image in such a way that either it will be visible or invisible. It is done in spatial as well as the frequency domain of image. In this paper, we have proposed a novel procedure in the spatial domain where we have taken X-Ray scans of the COVID-19 patients and their respective patient data. We have implemented dual encryption on the patient data by using encrypted DNA technique in combination with the generation of the Baconian ciphers for the data. Then we have inserted this data into the LSB of the image using a logical operation. The insertion is done in the window of LSB of the image which has minimum mean intensity. Then, the final image is reconstructed from the bit planes. We have tested our method on an open source database covid-chestxray-dataset- master available on github.