A Blind Data Hiding Technique with Error Correction Abilities and a High Embedding Payload

Least significant bit (LSB) embedding is a simple steganographic technique used in the spatial domain that involves replacing the LSB of each pixel in the cover work with the information bits being hidden to achieve information secrecy. However, considering the current prevalence of information theft and sabotage, the stego image produced using LSB embedding cannot prevent malicious illegal acts. Therefore, this study proposes a blind data hiding technique that combines block-coded modulation (BCM) codes with LSB embedding. The proposed method not only provides error correction capabilities to prevent errors during the extraction process, but also has a superior embedding payload. The peak signal noise ratio (PSNR) exceeds 40 dB by using our proposed method. Regarding the simulation results, the proposed method provides a superior PSNR compared to LSB embedding and a higher embedding payload than that offered by other steganographic techniques with error correction capabilities.