Steganography Encoder-Decoder

MATLAB toolbox for hiding text inside images and retrieving hidden payloads using basic least-significant-bit steganography.

Features

• Encode arbitrary text into lossless images via encoding.m
• Decode hidden payloads with decoding.m
• Command-line runner in main.m to demo the workflow
• Works with standard grayscale and RGB formats (PNG, TIFF, BMP)

Getting Started

Prerequisites

• MATLAB
• Test images placed under data/input and output placeholders under data/output

Quick Start

1. Update paths inside main.m to point to your source image and payload text.
2. Run main in MATLAB.
3. Open the generated image under data/output to verify the embedded message.
4. Use decoding.m on the stego image to extract the message.

Project Structure

• encoding.m: embeds text by modifying pixel LSBs
• decoding.m: reverses the embedding process
• main.m: sample pipeline tying both scripts together
• README.md: project overview (this file)

Roadmap

Diagram