Novel Meaningful Image Encryption Based on Block Compressive Sensing
المؤلفون المشاركون
Pan, Chen
Ye, Guodong
Zhou, Junwei
Huang, Xiaoling
المصدر
Security and Communication Networks
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-11-30
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
This paper proposes a new image compression-encryption algorithm based on a meaningful image encryption framework.
In block compressed sensing, the plain image is divided into blocks, and subsequently, each block is rendered sparse.
The zigzag scrambling method is used to scramble pixel positions in all the blocks, and subsequently, dimension reduction is undertaken via compressive sensing.
To ensure the robustness and security of our algorithm and the convenience of subsequent embedding operations, each block is merged, quantized, and disturbed again to obtain the secret image.
In particular, landscape paintings have a characteristic hazy beauty, and secret images can be camouflaged in them to some extent.
For this reason, in this paper, a landscape painting is selected as the carrier image.
After a 2-level discrete wavelet transform (DWT) of the carrier image, the low-frequency and high-frequency coefficients obtained are further subjected to a discrete cosine transform (DCT).
The DCT is simultaneously applied to the secret image as well to split it.
Next, it is embedded into the DCT coefficients of the low-frequency and high-frequency components, respectively.
Finally, the encrypted image is obtained.
The experimental results show that, under the same compression ratio, the proposed image compression-encryption algorithm has better reconstruction effect, stronger security and imperceptibility, lower computational complexity, shorter time consumption, and lesser storage space requirements than the existing ones.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Pan, Chen& Ye, Guodong& Huang, Xiaoling& Zhou, Junwei. 2019. Novel Meaningful Image Encryption Based on Block Compressive Sensing. Security and Communication Networks،Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1210520
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Pan, Chen…[et al.]. Novel Meaningful Image Encryption Based on Block Compressive Sensing. Security and Communication Networks No. 2019 (2019), pp.1-12.
https://search.emarefa.net/detail/BIM-1210520
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Pan, Chen& Ye, Guodong& Huang, Xiaoling& Zhou, Junwei. Novel Meaningful Image Encryption Based on Block Compressive Sensing. Security and Communication Networks. 2019. Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1210520
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1210520
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر