Asymmetric Image Encryption and Authentication Based on Equal Modulus Decomposition in the Fresnel Transform Domain
A novel asymmetric image encryption and authentication scheme based on equal modulus decomposition (EMD) in the Fresnel transform domain is proposed. First, the Fresnel spectrum of the plaintext is sparsely sampled. Then a sparse presentation of the Fresnel spectrum is divided into two complex-value...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
|
| Series: | IEEE Photonics Journal |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8572731/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849417561654951936 |
|---|---|
| author | Guangyu Luan Aichuan Li Dongmei Zhang Dongxin Wang |
| author_facet | Guangyu Luan Aichuan Li Dongmei Zhang Dongxin Wang |
| author_sort | Guangyu Luan |
| collection | DOAJ |
| description | A novel asymmetric image encryption and authentication scheme based on equal modulus decomposition (EMD) in the Fresnel transform domain is proposed. First, the Fresnel spectrum of the plaintext is sparsely sampled. Then a sparse presentation of the Fresnel spectrum is divided into two complex-valued masks with equal modulus based on EMD, both of which are necessary for decryption and authentication. The decrypted image renders little information on the original image visually. Furthermore, a nonlinear correlation is used to authenticate the decrypted image with the plaintext. In the scheme proposed here, the illuminating wavelength and the diffraction distance strengthen the security of the proposed scheme significantly, and the two complex-valued masks are both essential for decryption and authentication. The percentage of extracted pixels does not have to be determined deliberately. The feasibility and validity of the scheme have been proved by numerical simulations. |
| format | Article |
| id | doaj-art-9803c8f6abea4606a29ff6c5ec18b76b |
| institution | Kabale University |
| issn | 1943-0655 |
| language | English |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Photonics Journal |
| spelling | doaj-art-9803c8f6abea4606a29ff6c5ec18b76b2025-08-20T03:32:46ZengIEEEIEEE Photonics Journal1943-06552019-01-011111710.1109/JPHOT.2018.28862958572731Asymmetric Image Encryption and Authentication Based on Equal Modulus Decomposition in the Fresnel Transform DomainGuangyu Luan0https://orcid.org/0000-0002-9628-6319Aichuan Li1Dongmei Zhang2Dongxin Wang3College of Electrical and Information, Heilongjiang Bayi Agricultural University, Daqing, ChinaCollege of Electrical and Information, Heilongjiang Bayi Agricultural University, Daqing, ChinaCollege of Electrical and Information, Heilongjiang Bayi Agricultural University, Daqing, ChinaCollege of Electrical and Information, Heilongjiang Bayi Agricultural University, Daqing, ChinaA novel asymmetric image encryption and authentication scheme based on equal modulus decomposition (EMD) in the Fresnel transform domain is proposed. First, the Fresnel spectrum of the plaintext is sparsely sampled. Then a sparse presentation of the Fresnel spectrum is divided into two complex-valued masks with equal modulus based on EMD, both of which are necessary for decryption and authentication. The decrypted image renders little information on the original image visually. Furthermore, a nonlinear correlation is used to authenticate the decrypted image with the plaintext. In the scheme proposed here, the illuminating wavelength and the diffraction distance strengthen the security of the proposed scheme significantly, and the two complex-valued masks are both essential for decryption and authentication. The percentage of extracted pixels does not have to be determined deliberately. The feasibility and validity of the scheme have been proved by numerical simulations.https://ieeexplore.ieee.org/document/8572731/Asymmetric image encryptionimage authenticationequal modulus decompositionFresnel transform. |
| spellingShingle | Guangyu Luan Aichuan Li Dongmei Zhang Dongxin Wang Asymmetric Image Encryption and Authentication Based on Equal Modulus Decomposition in the Fresnel Transform Domain IEEE Photonics Journal Asymmetric image encryption image authentication equal modulus decomposition Fresnel transform. |
| title | Asymmetric Image Encryption and Authentication Based on Equal Modulus Decomposition in the Fresnel Transform Domain |
| title_full | Asymmetric Image Encryption and Authentication Based on Equal Modulus Decomposition in the Fresnel Transform Domain |
| title_fullStr | Asymmetric Image Encryption and Authentication Based on Equal Modulus Decomposition in the Fresnel Transform Domain |
| title_full_unstemmed | Asymmetric Image Encryption and Authentication Based on Equal Modulus Decomposition in the Fresnel Transform Domain |
| title_short | Asymmetric Image Encryption and Authentication Based on Equal Modulus Decomposition in the Fresnel Transform Domain |
| title_sort | asymmetric image encryption and authentication based on equal modulus decomposition in the fresnel transform domain |
| topic | Asymmetric image encryption image authentication equal modulus decomposition Fresnel transform. |
| url | https://ieeexplore.ieee.org/document/8572731/ |
| work_keys_str_mv | AT guangyuluan asymmetricimageencryptionandauthenticationbasedonequalmodulusdecompositioninthefresneltransformdomain AT aichuanli asymmetricimageencryptionandauthenticationbasedonequalmodulusdecompositioninthefresneltransformdomain AT dongmeizhang asymmetricimageencryptionandauthenticationbasedonequalmodulusdecompositioninthefresneltransformdomain AT dongxinwang asymmetricimageencryptionandauthenticationbasedonequalmodulusdecompositioninthefresneltransformdomain |