Implementation of Digital Watermarking System - DCT-Based Robust Watermark

Resource Overview

Implementation of a Digital Watermarking System - DCT-Based Robust Watermark. Embedding digital watermarks into images using block-based inverse DCT transformation with code implementation insights.

Detailed Documentation

The implementation of a digital watermarking system utilizes a robust watermarking technique based on Discrete Cosine Transform (DCT). This technology embeds digital watermarks into images through a block-based inverse DCT transformation process. The implementation typically involves dividing the host image into 8×8 pixel blocks, applying DCT to each block, modifying specific mid-frequency coefficients to embed watermark data, and performing inverse DCT to reconstruct the watermarked image. Key functions include dct2() for forward transformation and idct2() for inverse transformation in MATLAB. This technique enables invisible watermark embedding while preserving image quality, serving purposes such as image authentication and copyright protection. The algorithm's robustness stems from modifying DCT coefficients in frequency domains less susceptible to common image processing operations.