Adaptive Digital Image Watermarking Based on Combination of HVS Models
MetadataShow full item record
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 domain 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 perceptually 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.
KeywordsDigital image watermarking, Human Visual System models, Discrete Cosine Transform, Discrete Wavelet Transform, Noise Visibility Function, color spaces, watermark embedding, watermark detection
Document typePeer reviewed
Document versionFinal PDF
SourceRadioengineering. 2009, vol. 18, č. 3, s. 317-323. ISSN 1210-2512
- 2009/3