This project report presents a technique for embedding digital watermarks into images using a Discrete Cosine Transform (DCT) approach. The primary goal is to enhance image ownership verification and authentication by hiding secret information in the middle-frequency components of the image. The watermark is designed to be statistically invisible, robust to various image processing techniques, and easy to extract. The report covers the background and motivation, research goals and objectives, methods, algorithm description, results and discussions, conclusions, and future work. The experimental results show that the proposed method is effective in embedding and extracting watermarks, with a PSNR ranging from 40-70 dB. The team also discusses potential future applications, such as privacy protection and reversible watermarking, and identifies areas for further research, including image rotation and re-sampling. The contributions of the team members are detailed, highlighting their expertise in Matlab, image processing, and cryptography.This project report presents a technique for embedding digital watermarks into images using a Discrete Cosine Transform (DCT) approach. The primary goal is to enhance image ownership verification and authentication by hiding secret information in the middle-frequency components of the image. The watermark is designed to be statistically invisible, robust to various image processing techniques, and easy to extract. The report covers the background and motivation, research goals and objectives, methods, algorithm description, results and discussions, conclusions, and future work. The experimental results show that the proposed method is effective in embedding and extracting watermarks, with a PSNR ranging from 40-70 dB. The team also discusses potential future applications, such as privacy protection and reversible watermarking, and identifies areas for further research, including image rotation and re-sampling. The contributions of the team members are detailed, highlighting their expertise in Matlab, image processing, and cryptography.