RGB Image Watermarking on Video Frames using LWT
Securing images within video sequences through lifting wavelet transform in MATLAB
Project Overview
This project implemented an RGB image watermarking system where hidden images were embedded into video frames using the Lifting Wavelet Transform (LWT) in MATLAB. The technique ensures high security and imperceptibility, allowing watermarked images to be extracted with minimal distortion.
Dsp-presentatiom_final.pptxKey Features
🎥 Frame Splitting: Video divided into individual frames for watermarking
🌈 RGB Component Embedding: Red, green, and blue channels processed separately
🔄 Three-Level LWT: Multi-scale decomposition for robust watermarking
⚡ Alpha Blending: Controlled embedding using adjustable scale factors
Research Contributions
Designed a complete MATLAB pipeline for watermark embedding and extraction
Applied 3-level LWT with alpha blending to achieve secure image concealment
Demonstrated strong resistance to noise and high reconstruction accuracy
Technical Achievements
Successfully embedded and recovered multiple images inside video frames
Achieved negligible visual distortion in both host video and recovered watermark
Showcased advantages of second-generation wavelets (LWT) for multimedia security
Applications
Digital Rights Management (DRM): Protecting ownership of video content
Secure Data Transmission: Embedding sensitive information in multimedia streams
Forensics & Media Authentication: Tracing origin and verifying authenticity
Impact and Recognition
This project highlighted the use of signal processing and wavelet theory in practical security applications, demonstrating how MATLAB-based DSP techniques can safeguard multimedia content.