Implementation Algorithm of LSB Steganography for Grayscale Image Processing

In this document, we present an implementation algorithm for LSB (Least Significant Bit) steganography based on grayscale image processing, with programming implementation using MATLAB. This algorithm can hide secret information within images by modifying the least significant bits of pixel values. Through this technique, we can conceal various types of data such as text, images, or other files within carrier images. The implementation involves encoding and decoding processes that enable secure transmission of confidential information while maintaining the visual quality of the original image. In the MATLAB programming implementation, we utilize several image processing functions and algorithms to achieve this LSB steganography technique. Key implementation steps include: reading and displaying images using imread() and imshow() functions, modifying pixel values through bit manipulation operations to embed information, and extracting hidden data using bit extraction techniques. The algorithm typically involves converting secret data to binary format, iterating through image pixels to replace LSBs with secret bits, and reconstructing the original data during extraction. By providing detailed implementation steps and sample code demonstrations, we aim to help readers better understand and apply this LSB steganography algorithm for grayscale image processing. The implementation ensures minimal visual impact on the carrier image while providing effective data hiding capacity proportional to the image dimensions.