Name
Abstract | ||
|---|---|---|
With the advent of Internet image authentication has become a central part of research in security. Since JPEG has recommended discrete cosine transform as one if the steps in image compression systems, a hash function which utilizes discrete cosine decomposition is desirable. In this paper, we propose a discrete cosine based hash function which distinguishes acceptable level of compression from image processing modifications such as Median filtering, Gaussian noise addition, and FMLR attack. To increase manipulation detection, we optimize the number of AC coefficients needed in smoothing. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1109/ICDCSW.2003.1203613 | ICDCS Workshops |
Keywords | Field | DocType |
Gaussian noise,Internet,cryptography,data compression,discrete cosine transforms,image coding,median filters,message authentication,FMLR attack,Gaussian noise addition,Internet,JPEG,Median filtering,discrete cosine transform,hash function,image authentication,image compression systems,image processing modifications | Hash filter,Computer vision,Computer science,Discrete cosine transform,Transform coding,JPEG,Artificial intelligence,Hash function,Quantization (image processing),Data compression,Image compression | Conference |
ISBN | Citations | PageRank |
0-7695-1921-0 | 11 | 0.96 |
References | Authors | |
2 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| C. Kailasanathan | 1 | 18 | 1.63 |
| R. Safavi Naini | 2 | 18 | 1.63 |
| P. Ogunbona | 3 | 14 | 1.93 |