Name
Abstract | ||
|---|---|---|
In this paper, a novel image compression-encryption hybrid algorithm is proposed. First, a Gauss random matrix and a random scrambling matrix are generated by using Chebyshev mapping and Logistic mapping, respectively. Then, based on the principle that a scrambling Gauss matrix is still a Gauss matrix, a compression scheme for ciphertext images is designed. It is dependent on the Gauss random matrix and the random scrambling matrix, which mainly consists of three parts: the permutation-based encryption using random scrambling matrix by Alice, the encoding with Gauss random matrix by Charlie, and the joint decryption and decoding by Bob. It has a special application scenario, that is, Alice requires semi integrity Charlie to transmit images to Bob through a channel. Experimental results show that the scheme has strong robustness against noise and chosen-plaintext attack, and further the peak signal-to-noise ratio (PSNR) and subjective visual quality of reconstructed images can be improved by comparing with the similar methods. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/ACCESS.2018.2874336 | IEEE ACCESS |
Keywords | Field | DocType |
Compressed sensing,Gauss measurement matrix,random permutation matrix,chaos mapping,chosen plain text attack | Gauss,Scrambling,Matrix (mathematics),Computer science,Algorithm,Encryption,Decoding methods,Sparse matrix,Image compression,Distributed computing,Random matrix | Journal |
Volume | ISSN | Citations |
6 | 2169-3536 | 1 |
PageRank | References | Authors |
0.36 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shuqin Zhu | 1 | 1 | 0.70 |
| Congxu Zhu | 2 | 70 | 11.84 |
| Wenhong Wang | 3 | 3 | 1.06 |