LSB Matching Method for Image Steganography

This implementation demonstrates steganography using the LSB Matching method with an embedding rate equal to "alpha". The algorithm works by modifying the least significant bits of image pixels to embed secret information while maintaining visual quality. Key implementation details include: - The embedding process involves comparing each secret bit with the LSB of the host image pixel - When the secret bit doesn't match the pixel's LSB, the pixel value is randomly incremented or decremented by 1 - The "alpha" parameter controls the embedding rate, allowing adjustment of the hiding capacity versus image quality trade-off - This method provides better security than traditional LSB replacement since it doesn't create statistical anomalies The method effectively hides secret information in digital images while preserving acceptable visual quality. By adjusting the embedding rate, users can balance between hiding capacity and image fidelity. LSB Matching steganography finds applications in various fields including network security, digital watermarking, and covert communication. This technique offers a reliable approach for both personal privacy protection and commercial applications, providing an efficient way to embed information without significantly degrading image quality. The implementation typically involves pixel-level processing using modulus operations and random number generation for the matching decisions.