Name
Abstract | ||
|---|---|---|
In this paper, an algorithm for digital image watermarking based on discrete wavelet transforms DWT and block truncation coding BTC has been proposed. In the embedding process, the host image is decomposed into first level DWT and the watermark image is compressed by BTC. The compressed watermark is then embedded into the selected sub-band of the host image. The proposed method has been extensively tested against numerous known signal processing attacks and has been found to be robust and highly imperceptible. Further, the performance of the algorithm has been tested with fractal compression technique. The performance of the BTC-based technique is better than the fractal-based compression techniques in terms of robustness and imperceptibility. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1504/IJESDF.2016.073734 | IJESDF |
Keywords | Field | DocType |
watermarking, discrete wavelet transform, DWT, block truncation coding, BTC, robustness, peak signal to noise ratio PSNR, NC | Computer vision,Digital watermarking,Block Truncation Coding,Fractal compression,Computer science,Watermark,Robustness (computer science),Digital image,Discrete wavelet transform,Artificial intelligence,Wavelet transform | Journal |
Volume | Issue | ISSN |
8 | 1 | 1751-911X |
Citations | PageRank | References |
3 | 0.40 | 7 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Anum Javeed Zargar | 1 | 3 | 0.40 |
| Amit Kumar Singh | 2 | 645 | 63.25 |