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A K-SVD Based Compressive Sensing Method for Visual Chaotic Image Encryption

التفاصيل البيبلوغرافية
العنوان: A K-SVD Based Compressive Sensing Method for Visual Chaotic Image Encryption
المؤلفون: Zizhao Xie, Jingru Sun, Yiping Tang, Xin Tang, Oluyomi Simpson, Yichuang Sun
المصدر: Mathematics, Vol 11, Iss 7, p 1658 (2023)
بيانات النشر: MDPI AG, 2023.
سنة النشر: 2023
المجموعة: LCC:Mathematics
مصطلحات موضوعية: image encryption, compressive sensing, K-SVD, chaos, Mathematics, QA1-939
الوصف: The visually secure image encryption scheme is an effective image encryption method, which embeds an encrypted image into a visual image to realize a secure and secret image transfer. This paper proposes a merging compression and encryption chaos image visual encryption scheme. First, a dictionary matrix D is constructed with the plain image by the K-SVD algorithm, which can encrypt the image while sparsing. Second, an improved Zeraoulia-Sprott chaotic map and logistic map are employed to generate three S-Boxes, which are used to complete scrambling, diffusion, and embedding operations. The secret keys of this scheme contain the initial value of the chaotic system and the dictionary matrix D, which significantly increases the key space, plain image correlation, and system security. Simulation shows the proposed image encryption scheme can resist most attacks and, compared with the existing scheme, the proposed scheme has a larger key space, higher plain image correlation, and better image restoration quality, improving image encryption processing efficiency and security.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2227-7390
34858830
Relation: https://www.mdpi.com/2227-7390/11/7/1658; https://doaj.org/toc/2227-7390
DOI: 10.3390/math11071658
URL الوصول: https://doaj.org/article/a21da3d2323e49fda1bf348588301d05
رقم الانضمام: edsdoj.21da3d2323e49fda1bf348588301d05
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:22277390
34858830
DOI:10.3390/math11071658