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Adaptive digital image watermarking based on combination of hvs models.
| Content Provider | CiteSeerX |
|---|---|
| Author | Foriš, Peter Levický, Dušan |
| Abstract | Abstract. In this paper two new blind adaptive digital watermarking methods of color images are presented. The adaptability is based on perceptual watermarking which exploits Human Visual System (HVS) models. The first method performs watermark embedding in transform do-main of DCT and the second method is based on DWT. Watermark is embedded into transform domain of a chosen color image component in a selected color space. Both methods use a combination of HVS models to select per-ceptually significant transform coefficients and at the same time to determine the bounds of modification of selected coefficients. The final HVS model consists of three parts. The first part is the HVS model in DCT (DWT) domain. The second part is the HVS model based on Region of Interest and finally the third part is the HVS model based on Noise Visibility Function. Watermark has a form of a real number sequence with normal distribution. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Hvs Model Adaptive Digital Image Watermarking Transform Domain Second Part Second Method First Part First Method Performs Real Number Sequence Third Part Color Space Perceptual Watermarking Transform Do-main Chosen Color Image Component Color Image Normal Distribution Human Visual System Noise Visibility Function Significant Transform Coefficient New Blind Final Hvs Model |
| Content Type | Text |
| Resource Type | Article |
