Name
Abstract | ||
|---|---|---|
Watermarking (imperceptible insertion of data into the host image or soundtracks) has attracted many research interests in the recent decade. The aim of this correspondence is to introduce a none-blind, content-based method for image watermarking. It employs properties of Human Visual System (HVS) and is capable of embedding a high-energy watermark (consequently robust against lossy compressions and other kinds of attacks) while prevents perceptible degradation in the host image. To modulate the binary coded watermark on a spread-spectrum noise, the introduced algorithm is followed by spread-spectrum watermarking. The algorithm was simulated and experimental results represent magnificent improvement in watermarking capacity and accuracy of extraction. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/ISSPIT.2011.6151601 | ISSPIT |
Keywords | Field | DocType |
human visual system,imperceptible insertion,spread-spectrum noise,high-energy watermark,jpeg compression,watermarking capacity,content-based digital image,image watermarking,host image,content-based method,spread-spectrum watermarking,lossy compression,spread spectrum,binary codes | Digital watermarking,Computer science,Human visual system model,Watermark,Artificial intelligence,Jpeg compression,Binary number,Computer vision,Embedding,Pattern recognition,Lossy compression,Binary code,Algorithm | Conference |
ISSN | Citations | PageRank |
2162-7843 | 0 | 0.34 |
References | Authors | |
4 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Amir Najafi | 1 | 5 | 0.76 |
| Ali Siahkoohi | 2 | 0 | 0.34 |
| Mohammad B. Shamsollahi | 3 | 189 | 17.67 |