Name
Abstract | ||
|---|---|---|
Digital watermarking has been considered a solution for copyright protection applications. Our research on audio watermarking has led to the development of a novel technique that uses two wavelet filters and our technique has been shown to successfully satisfy the Information Hiding and its Criteria for evaluation (IHC) criteria. This paper describes our study that extended our audio watermarking technique and applied it to images. We conducted an experiment that used our technique to process image data at the IHC website and analyzed our data using Matlab. The results indicate that our technique is a valid approach to image watermarking. |
Year | Venue | Keywords |
|---|---|---|
2016 | 2016 IEEE 5TH GLOBAL CONFERENCE ON CONSUMER ELECTRONICS | image watermarking, wavelet filter |
Field | DocType | Citations |
Computer vision,Digital watermarking,MATLAB,Computer science,Information hiding,Image coding,Transform coding,Image segmentation,Artificial intelligence,Wavelet filter,Wavelet | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| YuFeng Yan | 1 | 0 | 0.34 |
| Hyunho Kang | 2 | 8 | 5.68 |
| Iwamura Keiichi | 3 | 49 | 25.52 |
| Isao Echizen | 4 | 299 | 68.82 |