Image adaptive watermarking techniques using models of the human visual system

Digital watermarking has been a rapidly growing field during the last 10 years. Many different techniques have been identified to aid in data authentication, copyright control, etc. This paper describes the results of implementing an algorithm that utilizes a model of the human visual system to increase the robustness of the watermark without sacrificing imperceptibility. In addition, various improvements to the algorithm were made and the results are compared to the original