LSB Embedding in Scrambled Transform Images with Comparative Analysis Tools
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Resource Overview
This project implements LSB (Least Significant Bit) embedding and extraction procedures for scrambled transform images, along with PSNR (Peak Signal-to-Noise Ratio) calculation utilities. The implementation includes spatial domain manipulation techniques and provides comparative analysis capabilities against DCT frequency domain embedding methods previously uploaded by the author.
Detailed Documentation
This project contains comprehensive implementations for LSB embedding and extraction algorithms applied to scrambled transform images. The solution incorporates spatial domain data hiding techniques where information is embedded in the least significant bits of pixel values after applying image scrambling transformations. Additionally, the package includes PSNR calculation modules that quantitatively measure image quality degradation, enabling direct comparison with DCT-based frequency domain embedding approaches shared in the author's previous uploads. These programs support flexible experimentation and research in image processing applications, offering multiple methodology choices and expanded investigation possibilities through standardized performance evaluation metrics. The code structure facilitates modular testing of different embedding strategies while maintaining consistent evaluation frameworks.
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