Name
Abstract | ||
|---|---|---|
In this paper a novel encryption methodology for improving compression in medical images is presented. It is shown that with the proposed scheme the pixel discontinuities are reduced which reduced the approximation error during the compression process. Permutation re-ordering is used to obtain the encryption key. The simulation results show that the proposed scheme can achieve 7-15dB improvement in PSNR values when used with JPEG2000 compression standard. It is shown that the proposed encryption scheme is independent of compression method used and can achieve real-time performs for encryption and decryption process. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/ICCE.2013.6487020 | ICCE |
Keywords | Field | DocType |
cryptography,data compression,image coding,medical image processing,jpeg2000 compression standard,decryption process,encryption key,encryption methodology,encryption process,medical image encryption,permutation re-ordering,pixel discontinuities | Watermarking attack,Multiple encryption,Computer vision,Computer science,Deterministic encryption,Disk encryption theory,Encryption,Probabilistic encryption,Artificial intelligence,Data compression,Image compression | Conference |
ISSN | ISBN | Citations |
2158-3994 | 978-1-4673-1361-2 | 0 |
PageRank | References | Authors |
0.34 | 1 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gankhuyag, G. | 1 | 0 | 0.68 |
| Soongi Hong | 2 | 3 | 2.09 |
| Yoonsik Choe | 3 | 91 | 28.68 |