دورية أكاديمية

Separable Reversible Data Hiding in Encrypted Images for Remote Sensing Images

التفاصيل البيبلوغرافية
العنوان: Separable Reversible Data Hiding in Encrypted Images for Remote Sensing Images
المؤلفون: Ruihua Liu, Quan Zhou, Juanni Liu, Yi Zhang, Zheng Hui, Xuejiao Zhang
المصدر: Entropy, Vol 25, Iss 12, p 1632 (2023)
بيانات النشر: MDPI AG, 2023.
سنة النشر: 2023
المجموعة: LCC:Science
LCC:Astrophysics
LCC:Physics
مصطلحات موضوعية: reversible data hiding in encrypted images, high capacity, entropy retained, MSB compression, separability, remote sensing images, Science, Astrophysics, QB460-466, Physics, QC1-999
الوصف: High security and effectiveness are critical performance metrics in the data transmission process for satellite remote sensing images, medical images, and so on. Previously, the receiver could gain a high-quality cover image (lossy) after decryption in a separable manner to balance embedding capacity (EC) and security. Completely separable, reversible data hiding in encrypted image (SRDH-EI) algorithms are proposed to address this issue. In this study, the cover image was preprocessed at the sender’s end. The pre-embedded pixels and most significant bits (MSB) were compressed via two coding methods to reserve space. Additionally, the header data were embedded for marking. Finally, auxiliary data and secret data were embedded in a forward “Z” and reverse “Z” shape before and after encryption, respectively. The receiver could extract secret data and decrypt the cover image separately using the keys and markers. The experimental results demonstrate that the algorithm reached a high EC for remote sensing images by utilizing pixel correlation at multiple positions within the groups. The cover image could maintain its entropy during the data embedding process, ensuring security. The decrypted image could be recovered without distortion, furthermore, the receiver could achieve complete separability, so it has good application prospects for remote sensing images.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1099-4300
Relation: https://www.mdpi.com/1099-4300/25/12/1632; https://doaj.org/toc/1099-4300
DOI: 10.3390/e25121632
URL الوصول: https://doaj.org/article/497641ca3a194252836844c2429b6f0a
رقم الأكسشن: edsdoj.497641ca3a194252836844c2429b6f0a
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:10994300
DOI:10.3390/e25121632