LSB Based Steganography For Secure Digital Image Embedding
Abstract
With a comprehensive image steganography designed to encode and decode multiple hidden images into carrier images using the Least Significant Bit (LSB) technique. The application features a user-friendly graphical user interface (GUI) built with Python’s Tkinter library, making it accessible to users with diverse technical backgrounds. The encoding process discreetly embeds hidden images within carrier images by altering the least significant bits of pixel values, ensuring minimal visual distortion to the carrier image. Metadata detailing the dimensions and structure of the hidden images is also incorporated alongside the image data to ensure precise reconstruction during the decoding process. To improve usability, the system accommodates various image formats, dynamically resizes hidden images to maximize embedding efficiency, and automatically manages carrier image capacity to prevent errors. The decoding module accurately extracts and reconstructs hidden images with minimal discrepancies, ensuring reliable performance. This project provides a practical and user-friendly tool for secure communication and data protection. It also sets the stage for further advancements, such as integrating encryption and optimizing capacity for even greater efficiency
Keywords
Image Steganography , Least Significant Bit(LSB) Encoding , Data Security , Hidden Image Encoding ,Python GUI , Metadata Reconstruction , Image Processing , Robust Decoding and Steganographic Applications