Image Watermarking

I developed a Python-based system for digital image watermarking using Digital Signal Processing (DSP) filters to embed and extract watermarks from images. The project explores how different filters affect visibility, robustness, and image quality.

Tools & Technologies

Python, OpenCV, NumPy, Matplotlib, VSCode

? Implemented Filters

Gaussian Filter: Reduces noise before embedding

Median Filter: Preserves edges during watermarking

Sobel Filter: Tests robustness through edge detection

Laplacian Filter: Highlights transitions and watermark strength

Key Features

Embed and extract invisible watermarks

Compare filter effects on watermark quality

Adjustable parameters for watermark strength and position

Visualization of results using Matplotlib

Results & Future Work

Achieved strong balance between watermark invisibility and resilience. Next steps include moving to frequency domain watermarking (DCT/DWT) and developing a GUI-based version.