Spatial and spectral digital watermarking with robustness evaluation

Any kind of data like image, video, audio and text are embedded with an another multimedia content is known as digital watermarking. One which is embedded is known as watermark or message and the other one is a cover or asset data. Broadcast monitoring, transaction tracking, content authentication, photograph galleries, digital libraries, real time information delivery and so on are some of the applications of watermarking. In this study spatial and spectral domain watermarking algorithms are implemented with evaluation of various attacks like compression, rotation, cropping, additive noise, etc. to check the robustness. Performance metrics are like Mean Square Error (MSE) and Peak Signal-to-Noise Ratio (PSNR) obtained while evaluating the robustness of watermarking algorithms.