An Overview of Image Steganography
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This presentation gives an overview of image steganography, a technique for hiding information in images. It introduces the trend of combining machine learning and image processing, and some applications of digital image processing such as face recognition, iris recognition, and activity recognition. It then reviews some existing methods for information hiding in images, such as digital watermarking, visual cryptography, and LSB replacement. It also proposes a novel system that combines cryptography and image steganography for secure data transmission. The system consists of four phases: encryption using AES algorithm, embedding using LSB replacement, hiding using Kekre’s median codebook generation algorithm, and stitching using K-nearest neighbor algorithm. The presentation concludes by highlighting the advantages and potential applications of the proposed system in fields such as banking, consultancies, and detective agencies.
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