Encryption of color images using MSVD in DCST domain |
| |
| Affiliation: | 1. CEA, DEN, DTEC, SGCS, F-30207 Bagnols-sur-Cèze, France;2. CEA, DEN, DTEC, SEPE, F-30207 Bagnols-sur-Cèze, France;3. Aix-Marseille Université, CNRS, IUSTI, UMR 7343, 13453 Marseille Cedex 13, France;1. State Key Laboratory of Tribology, Department of Mechanical Engineering, Tsinghua University, Beijing, 100084 China;2. Beijing Advanced Innovation Center for Imaging Technology, Capital Normal University, Beijing, 100048 China;3. School of Mechanical Engineering, Purdue University, West Lafayette, IN, 47907 USA;4. Ingram School of Engineering, Texas State University, San Marcos, TX, 78746 USA;1. Institute of Modern Optics, Department of Physics, Harbin Institute of Technology, Harbin, 150001, China;2. Key Laboratory of Micro-Optics and Photonics Technology of Heilongjiang Province, Harbin, 150001, China;1. Luleå University of Technology, Department of Engineering Sciences and Mathematics, Luleå, S-971 87 Sweden;2. University of Mosul, College of Engineering, Department of Mechanical Engineering, Mosul, Iraq |
| |
| Abstract: | ![]()
In this paper, a new image encryption and decryption algorithm based on Multiresolution Singular Value Decomposition (MSVD) and Discrete Cosine Stockwell Transform (DCST) is proposed. An original image is first transformed in DCST domain and then decomposed into four subbands using MSVD, all the four subbands are further decomposed into four subimages according to their indexing and masked by the parameters generated by MSVD. We have used number of bands of DCST, arrangement of MSVD subbands, arrangement of various subimages obtained from MSVD subbands, values and arrangement of a 4×4 matrix generated by MSVD and the arrangement of masked subimages as encryption and decryption keys. To ensure the correct decryption of encrypted image, it is indeed necessary to have correct knowledge of all keys in correct order along with their exact values. If all the keys are correct but a single key is wrong even though it would be almost impossible to guess the original image. The efficiency of proposed algorithm is evaluated by comparing it with some recent published works and it is evident from the experimental results and analysis that the proposed algorithm can transmit the images more securely and efficiently over the network. |
| |
| Keywords: | Image encryption Discrete cosine stockwell transform Multiresolution singular value decomposition Structural similarity index |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
