Secured Palette is a web application developed using Streamlit in Python, aiming to enhance information security through a combination of LSB (Least Significant Bit) steganography and visual cryptography techniques. In the encoding phase, the application takes an input image and text to be concealed. LSB steganography involves subtly adjusting the least significant bits of colored pixels in the image, embedding the text message within the image without perceptible alterations.
Following the steganographic process, visual cryptography is employed. The encoded image is divided into two shares using visual cryptography. Each share independently reveals no information about the original image or message, but when superimposed, the visual cryptography mechanism reconstructs the original image, making it visually perceptible. This process ensures that neither share alone discloses any sensitive information.
For decoding, the web application prompts the user to upload the shares of the visual cryptography scheme. Upon overlap, the shares reconstruct the hidden image. Internally, LSB steganography is applied again to extract the concealed text message from the reconstructed image. This dual-layered security approach combines the obscurity of LSB steganography with the cryptographic resilience of visual cryptography, providing a robust means of safeguarding secrets. The innovative fusion of these techniques fortifies data protection by making it challenging for unauthorized entities to discern both the existence of concealed information and its content.