Enhanced LSB Algorithm Implementation
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Resource Overview
A MATLAB implementation of an improved Least Significant Bit (LSB) algorithm featuring both data hiding and extraction functionalities. The implementation uses the standard Lena test image as a sample carrier, successfully embeds secret information, and accurately retrieves the hidden data through the extraction algorithm. Code includes pixel manipulation techniques and bit-plane operations.
Detailed Documentation
This project presents an enhanced MATLAB implementation of the Least Significant Bit (LSB) algorithm, comprising both data hiding and extraction modules. The algorithm operates by modifying the least significant bits of image pixels to embed secret data while maintaining visual imperceptibility. During testing, the standard Lena image was utilized as the carrier medium, where predetermined secret information was successfully embedded through bit-level manipulation. The extraction algorithm precisely recovered the hidden information by analyzing the LSB plane of the stego-image. Key implementation aspects include: pixel value modification using bitwise operations, spatial domain embedding techniques, and robustness validation through PSNR calculations. Experimental results demonstrate satisfactory performance, confirming the algorithm's feasibility and effectiveness for digital watermarking applications.
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