Name
Abstract | ||
|---|---|---|
This paper introduces a new watermark estimation scheme for an additive watermark embedding model in spatial domain. Unlike traditional estimating filters only considering spatially adjacent pixels, the proposed method takes into account pixels which are both in close intensity value and spatially near distance. Thus, it is possible for the proposed method to estimate stably the watermark signal from a watermarked image that severely fluctuates in intensity value. Also, this paper proposes the preprocessing method that boosts the performance of our watermark estimation filter by suppressing host signal noises. Extensive experimental results show that the proposed method outperforms the traditional filters under various attacks. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/IIHMSP.2010.21 | IIH-MSP |
Keywords | Field | DocType |
watermark signal,neighborhood filter,image coding,new watermark estimation scheme,additive watermark embedding model,suppressing host signal noises,improved watermark estimation scheme,estimation theory,close intensity value,spatially adjacent pixels,spatially adjacent pixel,watermarking,additive watermark,watermark estimation filter,spatial domain,filtering theory,watermarked image,preprocessing method,traditional filters,watermark estimation,intensity value,estimating filters,suppressing host signal noise,additives,finite impulse response filter,noise,estimation,pixel | Computer vision,Digital watermarking,Computer science,Watermark,Preprocessor,Artificial intelligence,Pixel,Estimation theory,Filtering theory,Finite impulse response,Watermark embedding | Conference |
ISBN | Citations | PageRank |
978-0-7695-4222-5 | 1 | 0.48 |
References | Authors | |
5 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tae-Woo Oh | 1 | 71 | 5.83 |
| Seung-Jin Ryu | 2 | 102 | 8.03 |
| Ji-Won Lee | 3 | 116 | 12.82 |
| Won-Young Yoo | 4 | 9 | 2.78 |
| Heung-kyu Lee | 5 | 1016 | 87.53 |