Name
Title | ||
|---|---|---|
New hybrid additive-multiplicative watermarking with better tradeoff between image quality and detection accuracy |
Abstract | ||
|---|---|---|
An important issue of robust watermarking for image is to achieve a better tradeoff between quality of watermarked image and accuracy of watermark detection. In this paper, we present a hybrid method of two basic embedding schemes, additive and multiplicative schemes, which embeds a watermark by both rules so that the degradation of image quality caused by one embedding is decreased by the other. Thus, the proposed hybrid method allows us to have a larger watermark strength while keeping the image quality high. A larger watermark strength improves the accuracy of watermark detection. We experimentally confirmed that the optimum detection scheme for the proposed hybrid scheme shows a better performance than both additive and multiplicative ones in the DWT domain. |
Year | Venue | Keywords |
|---|---|---|
2012 | Information Theory and its Applications | discrete wavelet transforms,embedded systems,image sensors,image watermarking,DWT domain,additive scheme,discrete wavelet transform,embedding scheme,hybrid additive-multiplicative image watermarking,image quality degradation,image watermarking detection accuracy,image watermarking quality,multiplicative scheme,optimum detection scheme |
Field | DocType | ISBN |
Discrete mathematics,Computer vision,Digital watermarking,Embedding,Image sensor,Multiplicative function,Computer science,Image quality,Watermark,Theoretical computer science,Artificial intelligence | Conference | 978-1-4673-2521-9 |
Citations | PageRank | References |
0 | 0.34 | 11 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Seigo Ikeda | 1 | 0 | 0.34 |
| Maki Yoshida | 2 | 2 | 1.47 |
| Toru Fujiwara | 3 | 23 | 7.41 |