A Framework for Medical Image Steganography with Modified LSB and Hamming Code

• Published in: 2024 Fourth International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT) pp. 1 - 7
• Main Authors: Ramapriya, B., Kalpana, Y.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 11.01.2024
• Subjects: Bernoulli's chaotic map; Codes; Edge detection; Hamming code; Image edge detection; Image quality; Least Significant Bit (LSB); Matrix Embedding; Mean Squared Error; Peak Signal Noise Ratio; PSNR; Steganography; Visualization; Writing
• DOI: 10.1109/ICAECT60202.2024.10468898

Steganography comes from Greek word "steganos", meaning "Covered Writing". Having access to the internet has enabled large amounts of data to be transferred quickly and in less time. Sensitive Information were easily tapped by third party. To ensure safe transmission we have Image Steganography concept. Transmitting information safely is ensured by it. The Least Significant Bit (LSB) substitution approach is used to boost data embedding capacity while maintaining image quality. LSB is popularly used methods for secret data exchanges. LSB algorithm is simple in implementation and have fewer computational complexity which produce very low distortion in image quality. The proposed method employs in spatial domain. The embedding ability of a hidden image file is improved in this paper, and it also has very low noise effects. This paper concentrates on a new approach for secret data embedding inside the images by using LSB algorithm with hamming code. This method shows minimal visual distortion image quality. The Peak Signal to Noise Ratio (PSNR), Mean Squared Error (MSE) and the Root Mean Square Error (RMSE) values were compared to prove the proposed algorithm performs well on embedding in cover image.