DocumentCode :
2831170
Title :
Novel Multi-bit Watermarking Using Adaptive Embedding Algorithms with Minimum Error
Author :
Chen, Rong-Jian ; Lai, Jui-Lin ; Horng, Shi-Jinn
Author_Institution :
Dept. of Electron. Eng., Nat. United Univ., Miaoli, Taiwan
fYear :
2011
fDate :
June 30 2011-July 2 2011
Firstpage :
211
Lastpage :
218
Abstract :
This paper presents the novel multi-bit watermarking using adaptive embedding algorithms with minimum error. These embedding algorithms can embed multi-bit (k-bit, k≥1 ) logo data into cover data only introduce minimum embedding errors which are restricted to ±(2k-1-1)2i-k according to the embedding location i. To achieve the goal of minimum embedding error, we introduced the adaptive embedding algorithms to adaptively evaluate the most similar value to replace the original one and which can be divided into three steps: (1) embed logo data into cover data, (2) adaptively adjust the least-significant bits (LSBs) of cover data, and (3) adaptively adjust the maximum-significant bits (MSBs) of cover data. Thus, we called them as adaptive 3-step embedding algorithms. The proposed embedding algorithms are not only achieving minimum error but also suitable to hardware implementation due to they are bit wise and based on logic, arithmetic and bit operations. Many simulations show that the proposed adaptive 3-step embedding algorithms perform good embedding quality for watermarking applications.
Keywords :
watermarking; adaptive embedding algorithms; cover data; embedding algorithms; least significant bits; logo data; maximum significant bits; minimum error; multibit watermarking; Adaptation models; Discrete wavelet transforms; Frequency domain analysis; Image color analysis; Robustness; Software algorithms; Watermarking; minimum-error embedding; robustness; watermarking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Complex, Intelligent and Software Intensive Systems (CISIS), 2011 International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-1-61284-709-2
Electronic_ISBN :
978-0-7695-4373-4
Type :
conf
DOI :
10.1109/CISIS.2011.39
Filename :
5989049
Link To Document :
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