lsb-steganography

LSB steganography works by encoding information into the least significant bits of pixel color channels within a carrier image. This approach enables covert data storage and privacy-preserving image sharing with minimal perceptual change to the original visual content.

You can embed a secret message into an image using browser-native Canvas operations to manipulate pixel data. The encoding pipeline loads the carrier image, calculates embedding capacity, and writes text data into the least significant bits of the color channels.

Yes, you can perform image-to-image encoding to hide one image inside another carrier image. This technique uses least significant bit manipulation across pixel color channels to embed the payload image while maintaining minimal perceptual difference in the output.

Yes, LSB steganography supports React integration for encoding and decoding workflows. It is designed for web environments and utilizes browser-based Canvas APIs to handle the pixel manipulation, capacity calculation, and data extraction processes.

You calculate the embedding capacity of a carrier image by evaluating the available least significant bits across all pixel color channels. The decoding pipeline uses this capacity metric to extract hidden data and accurately reconstruct the embedded payload.

The primary limitation of least significant bit encoding is that embedding large payloads requires sufficient carrier image capacity. Additionally, while perceptual changes are minimal, the hidden data may be vulnerable to detection or destruction if the carrier image undergoes compression or resizing.