Image Watermarking Technique Based On Human Visual Characteristics Of The Study

Information -hiding techniques have recently become important in a number of application areas. Digital audio, video, and pictures are increasingly furnished with distinguishing but imperceptible marks, which may contain a hidden copyright notice or serial number or even help to prevent unauthorized copying directly. Military communications systems make increasing use of traffic security techniques which, rather than merely concealing the content of a message using encryption, seek to conceal its sender, its receiver, or its very existence. These accelerate the development of information-hiding technology. We select the convert communication as our research field and focus our research on the image transparence in the vision based on the convert communication and watermarking technology feasibility. We firstly give an overview of the field and some typical watermarking algorithm. Afterwards we discuss the human vision model(HVS) in space domain and DCT domain respectively; We provide some algorithms to embed the information using the HVS models, analyzing the algorithm flow and correctness of the extracted data. Besides that we think over the carrier capacity and give some estimating methods, which gives a quantitative basis to select appropriate carrier to embed the information. At last we implement the technology in a software, and in the thesis we give a software frame to explain how to implement the data-hiding technique in software.