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Region of interest encryption algorithm for images based on lifting scheme and object detection

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成果类型:
期刊论文
作者:
Lujie Wang;Zhong Chen*;Xiyu Sun;Chenchen He
通讯作者:
Zhong Chen
作者机构:
[Lujie Wang; Xiyu Sun; Chenchen He] College of Computer Science and Technology, Hengyang Normal University, Hengyang, China
Hunan Provincial Key Laboratory of Intelligent Information Processing and Application, Hengyang, China
[Zhong Chen] College of Computer Science and Technology, Hengyang Normal University, Hengyang, China<&wdkj&>Hunan Provincial Key Laboratory of Intelligent Information Processing and Application, Hengyang, China
通讯机构:
[Zhong Chen] C
College of Computer Science and Technology, Hengyang Normal University, Hengyang, China<&wdkj&>Hunan Provincial Key Laboratory of Intelligent Information Processing and Application, Hengyang, China
语种:
英文
关键词:
Image encryption;Region of interest;Lifting scheme;Chaos;NMS;Object detection
期刊:
Cluster Computing
ISSN:
1386-7857
年:
2025
卷:
28
期:
1
页码:
1-20
基金类别:
This work was supported in part by the Scientific Research Fund of Hunan Provincial Education Department under Grant 19A066, and in part by the Science and Technology Innovation Program of Hunan Province under Grant 2016TP1020.
机构署名:
本校为第一且通讯机构
院系归属:
计算机科学与技术学院
摘要:
Securing image transmissions has become critical as the demand for image sharing and storage grows. In some commercial uses, in order to achieve a balance between encryption security and efficiency, some researchers have tried to encrypt only the region of interest of the user in the image. In order to accurately encrypt region of interest images, this paper proposed a region of interest image encryption algorithm based on lifting scheme and object detection. The algorithm automatically identifies the region of interest in the image and encrypts it securely and effectively. Firstly, the region...

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