Name
Abstract | ||
|---|---|---|
In this paper, a novel robust halftone image watermarking algorithm based on neural networks is presented. By using neural networks, the error diffusion filter can be adjusted adaptively, which can integrate the data embedding with the halftone processing in our scheme. Experimental results show that the proposed halftone image watermarking is invisible and robust against various signal processions such as JBIG compression, noise adding, cropping, daubing and print-scan. Especially, the algorithm can extract the watermark without the help from the original image. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11760191_44 | ISNN (2) |
Keywords | Field | DocType |
proposed halftone image watermarking,error diffusion filter,neural network,novel robust halftone image,halftone processing,various signal,original image,jbig compression,signal processing | Steganography,Computer vision,Digital watermarking,Embedding,Pattern recognition,Computer science,Halftone,Error detection and correction,Watermark,Artificial intelligence,JBIG,Artificial neural network | Conference |
Volume | ISSN | ISBN |
3973 | 0302-9743 | 3-540-34482-9 |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiang-Yang Wang | 1 | 709 | 45.24 |
| Jun Wu | 2 | 125 | 15.66 |