Text Steganography in Images Using Turbo Code-Walsh Code Transforms
Rafal Fadhil Jabbar, Osama Qasim Jumah Al-Thahab · 2022
Numerous methods, such as integration between steganography and cryptography, have been suggested to protect the privacy of information exchanged. Steganography systems have come to be recognized as a crucial method for enhancing information security by using multimedia to cover up sensitive information which includes information that is invisible to the human eye. In this paper, text was concealed within a digital image using Turbo code and Walsh-code algorithm, in order to result an electronic lung x-ray containing the diagnosis of the condition embedded inside the image. The algorithm was implemented using the MATLAB programming language. The new way is exposed to multi-image noise like Gaussian, slot and paper noise, and it is found that the proposed algorithm has PSNR, BER, RMS, MSE results for Gaussian equal to 84.871, 0.0003, 0.0525, and 0.0027 respectively. These results are considered very suitable as compared to no attack.