LSB-Based Image Steganography Algorithm Implementation

In this article, I aim to expand upon the content related to LSB-based image steganography algorithms and demonstrate how to implement this algorithm using MATLAB. LSB stands for Least Significant Bit, representing a widely-used steganography technique that hides information within the least significant bits of image pixels. This algorithm can be employed for secure transmission of sensitive information or digital watermark embedding. In MATLAB implementation, we utilize the Image Processing Toolbox to write code that performs bit-level manipulation of image data. The core implementation involves reading image matrices, converting secret messages to binary format, and replacing the LSBs of pixel values with message bits. Key functions include imread() for image input, bitget() and bitset() for bit-level operations, and imwrite() for output generation. By understanding the principles of LSB algorithm and its practical applications, we can gain deeper insights into the potential and limitations of image steganography techniques, including considerations for capacity, visual imperceptibility, and robustness against detection.