Research on meaningful image encryption algorithm based on 2-dimensional compressive sensing
Aiming at the problems that the existing compressive sensing-based meaningful image encryption algorithms have low visual security of the encrypted images and poor quality of the reconstructed images, a 2-dimensional compressive sensing-based (2DCS) meaningful image encryption algorithm was proposed...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2022-05-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2022101/ |
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| _version_ | 1841540005330157568 |
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| author | Hua REN Shaozhang NIU Ruyong REN Zhen YUE |
| author_facet | Hua REN Shaozhang NIU Ruyong REN Zhen YUE |
| author_sort | Hua REN |
| collection | DOAJ |
| description | Aiming at the problems that the existing compressive sensing-based meaningful image encryption algorithms have low visual security of the encrypted images and poor quality of the reconstructed images, a 2-dimensional compressive sensing-based (2DCS) meaningful image encryption algorithm was proposed.Firstly, a chaotic pseudo-random sequence generation method associated with plaintext was designed, and the global random permutation and grayscale transformation operations were used for pre-encryption to improve the decrypted image quality.The generated pre-encrypted image was used as the input for 2DCS, and the secret image was generated after the compression encryption and quantization operations.Secondly, the relationship between the hidden and the modified data was considered, and an adaptive embedding method was adopted to modify the carrier coefficient values to improve the visual security of meaningful encrypted image.Finally, the 2-dimensional projection gradient reconstruction method was adopted to decompress and decrypt to obtain the decrypted image.The experimental results show that, compared with the existing algorithms, the proposed algorithm not only improves the visual security of encrypted image and the quality of reconstructed image, but also can resist noise and cropping attacks. |
| format | Article |
| id | doaj-art-f8f1886d55c846cba181b7805f525630 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2022-05-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-f8f1886d55c846cba181b7805f5256302025-01-14T06:29:50ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2022-05-0143455759395362Research on meaningful image encryption algorithm based on 2-dimensional compressive sensingHua RENShaozhang NIURuyong RENZhen YUEAiming at the problems that the existing compressive sensing-based meaningful image encryption algorithms have low visual security of the encrypted images and poor quality of the reconstructed images, a 2-dimensional compressive sensing-based (2DCS) meaningful image encryption algorithm was proposed.Firstly, a chaotic pseudo-random sequence generation method associated with plaintext was designed, and the global random permutation and grayscale transformation operations were used for pre-encryption to improve the decrypted image quality.The generated pre-encrypted image was used as the input for 2DCS, and the secret image was generated after the compression encryption and quantization operations.Secondly, the relationship between the hidden and the modified data was considered, and an adaptive embedding method was adopted to modify the carrier coefficient values to improve the visual security of meaningful encrypted image.Finally, the 2-dimensional projection gradient reconstruction method was adopted to decompress and decrypt to obtain the decrypted image.The experimental results show that, compared with the existing algorithms, the proposed algorithm not only improves the visual security of encrypted image and the quality of reconstructed image, but also can resist noise and cropping attacks.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2022101/image encryption2-dimensional compressive sensingmeaningful image encryptionembedding technology |
| spellingShingle | Hua REN Shaozhang NIU Ruyong REN Zhen YUE Research on meaningful image encryption algorithm based on 2-dimensional compressive sensing Tongxin xuebao image encryption 2-dimensional compressive sensing meaningful image encryption embedding technology |
| title | Research on meaningful image encryption algorithm based on 2-dimensional compressive sensing |
| title_full | Research on meaningful image encryption algorithm based on 2-dimensional compressive sensing |
| title_fullStr | Research on meaningful image encryption algorithm based on 2-dimensional compressive sensing |
| title_full_unstemmed | Research on meaningful image encryption algorithm based on 2-dimensional compressive sensing |
| title_short | Research on meaningful image encryption algorithm based on 2-dimensional compressive sensing |
| title_sort | research on meaningful image encryption algorithm based on 2 dimensional compressive sensing |
| topic | image encryption 2-dimensional compressive sensing meaningful image encryption embedding technology |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2022101/ |
| work_keys_str_mv | AT huaren researchonmeaningfulimageencryptionalgorithmbasedon2dimensionalcompressivesensing AT shaozhangniu researchonmeaningfulimageencryptionalgorithmbasedon2dimensionalcompressivesensing AT ruyongren researchonmeaningfulimageencryptionalgorithmbasedon2dimensionalcompressivesensing AT zhenyue researchonmeaningfulimageencryptionalgorithmbasedon2dimensionalcompressivesensing |