Title :
An Adaptive Blind Watermarking Algorithm Based on DCT and Modified Watson´s Visual Model
Author :
Li, Yongzhong ; Zhu, Hua ; Yu, Ruiqing ; Yang, Ge ; Xu, Jing
Author_Institution :
Sch. of Electrics & Inf., Jiangsu Univ. of Sci. & Technol., Zhenjiang
Abstract :
In this paper, an adaptive blind watermarking algorithm based on compressed DCT and Watsonpsilas Visual Mode is proposed. A normalized masking, deduced from Watsonpsilas model according to the principle of maximum possible quantization error, is used to simplify the computation for watermark insertion. Hidden information is adaptively embedded based on the deduced masking and relationship of four-adjacent-blocks. Arnold transformation is used to encrypt the watermark signal with a secret key and the watermark is extracted without the original image. Experimental results indicate that the proposed strategy is resistant to Gaussian noise, mean filter, JPEG compression, etc.
Keywords :
Gaussian processes; data compression; discrete cosine transforms; feature extraction; image coding; private key cryptography; watermarking; DCT; Gaussian noise; JPEG compression; adaptive blind watermarking algorithm; deduced masking; information hiding; mean filter; modified Watson visual model; quantization error; secret key; Data mining; Digital images; Discrete cosine transforms; Image coding; Internet; Protection; Quantization; Robustness; Transform coding; Watermarking; Blind Watermark; DCT; Watermarking Algorithm; Watson´s Visual Model;
Conference_Titel :
Electronic Commerce and Security, 2008 International Symposium on
Conference_Location :
Guangzhou City
Print_ISBN :
978-0-7695-3258-5
DOI :
10.1109/ISECS.2008.83
