Abstract | ||
---|---|---|
Spread-spectrum steganographic (SSIS) method offers high payload and robustness to additive noise in transmission channel but the visual quality of image is distorted and exact data recovery may not be satisfied. DCT-domain message hiding based steganographic techniques provide high image imperceptibility and exact data recovery in absence of noise. In this paper, we combined the best of SSIS and DCT-domain hiding to provide high image imperceptibility and robustness to noise. We demonstrate our proposed algorithm through experiments on additive noise and jpeg compression attacks in the transmitted channel. |
Year | DOI | Venue |
---|---|---|
2009 | 10.1109/DCC.2009.86 | Snowbird, UT |
Keywords | Field | DocType |
steganographic technique,dct-domain message,spread-spectrum steganography system,high payload,spread-spectrum steganographic,dct domain message embedding,high image imperceptibility,dct-domain hiding,exact data recovery,additive noise,transmission channel,transmitted channel,noise,information hiding,spread spectrum,image quality,satisfiability,robustness,signal to noise ratio,steganography,data recovery,data compression,spread spectrum communication,payloads,data mining,visualization,discrete cosine transform | Computer vision,Steganography,Computer science,Signal-to-noise ratio,Information hiding,Discrete cosine transform,Image quality,Theoretical computer science,Robustness (computer science),Artificial intelligence,Data compression,Spread spectrum | Conference |
ISSN | ISBN | Citations |
1068-0314 | 978-1-4244-3753-5 | 2 |
PageRank | References | Authors |
0.41 | 2 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Neha Agrawal | 1 | 8 | 2.58 |
Anubha Gupta | 2 | 48 | 7.02 |