Name
Abstract | ||
|---|---|---|
This paper presents a new method for adaptive watermark strength optimization in Discrete Cosine Transform (DCT) domain. Watermarking is a method to embed secret information in the host medium. Optimal sub-band and strength selection for watermark is the most critical aspect in the whole process and it had attracted many researchers in the recent past. In the proposed method, DCT sub-band is selected using Genetic Algorithm (GA) and watermark strength is intelligently selected through Particle Swarm Optimization (PSO). GA performs well at exploring a vast search space and it selects the suitable sub-band for watermark embedding. Perceptual shaping of the watermark is done in such a way that watermark embedding is imperceptible to the human visual system. The proposed method shows promising results against different attacks, such as low-pass filter, high-pass filter, median filters, shifting and cropping the marked image. Further, experimental results have shown better performance of the proposed method as compared with the current approaches in practice. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1145/2448556.2448562 | ICUIMC |
Keywords | Field | DocType |
robust image watermarking,watermark embedding,strength selection,optimal sub-band,adaptive watermark strength optimization,dct sub-band,new method,watermark strength,genetic swarm,high-pass filter,suitable sub-band,dct,genetic algorithms,watermarking | Particle swarm optimization,Computer vision,Digital watermarking,Swarm behaviour,Computer science,Human visual system model,Discrete cosine transform,Watermark,Artificial intelligence,Genetic algorithm,Watermark embedding | Conference |
Citations | PageRank | References |
1 | 0.36 | 11 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Asmatullah Chaudhry | 1 | 97 | 8.80 |
| Arfan Jaffar | 2 | 1 | 0.70 |
| Bushra Sikandar | 3 | 1 | 0.36 |
| Jin Young Kim | 4 | 497 | 81.76 |
| M. Ishtiaq | 5 | 6 | 1.13 |
| Tran Anh Tuan | 6 | 21 | 3.58 |