The Design of an Adaptive Enhanced AMP-Based Image Block Compressed Sensing and Its Application to Image Encryption

Compressed sensing (CS) has become a widely employed technique in the field of image encryption. Despite achieving a high level of data encryption security, the resulting decrypted images often lack satisfactory quality. In this paper, we develop an adaptive enhanced approximate message passing (AMP...

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Published inIEEE transactions on circuits and systems for video technology Vol. 34; no. 11; pp. 11128 - 11141
Main Authors Li, Junhui, Hou, Xingsong
Format Journal Article
LanguageEnglish
Published New York IEEE 01.11.2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Adaptive algorithms
adaptive anti-aliasing filtering
approximate message passing
block compressed sensing
Chaos theory
Data encryption
Encryption
Filtering algorithms
Haar transform
Image coding
Image encryption
Image enhancement
Image filters
Image quality
Image reconstruction
Message passing
Noise measurement
Perturbation
Security
Signal processing algorithms
Online AccessGet full text
ISSN1051-8215
1558-2205
DOI10.1109/TCSVT.2024.3417287

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Abstract Compressed sensing (CS) has become a widely employed technique in the field of image encryption. Despite achieving a high level of data encryption security, the resulting decrypted images often lack satisfactory quality. In this paper, we develop an adaptive enhanced approximate message passing (AMP) block CS (AE-AMP-BCS) algorithm for image BCS and its application to image encryption. Initially, we present an adaptive energy-based anti-aliasing filtering strategy (AAFS) for preprocessing the input image, mitigating the noise effect during reconstruction. The filtered image is then transformed into the Haar domain for enhanced security, followed by a twofold perturbation operation and a piece-wise linear chaotic system-based measurement generation approach for ratio allocation and security consideration. Finally, the cipher measurements are decrypted using an existing AMP-based algorithm. It is noteworthy that the keys for perturbation operations and the chaotic system are derived using the SHA512 hash. Comprehensive experimental results demonstrate that the proposed AE-AMP-BCS significantly outperforms state-of-the-art BCS methods in terms of image reconstruction quality. Its application in image encryption showcases competitive encryption capabilities, strong robustness, and outstanding image decryption quality compared to other CS-based image encryption algorithms.
AbstractList Compressed sensing (CS) has become a widely employed technique in the field of image encryption. Despite achieving a high level of data encryption security, the resulting decrypted images often lack satisfactory quality. In this paper, we develop an adaptive enhanced approximate message passing (AMP) block CS (AE-AMP-BCS) algorithm for image BCS and its application to image encryption. Initially, we present an adaptive energy-based anti-aliasing filtering strategy (AAFS) for preprocessing the input image, mitigating the noise effect during reconstruction. The filtered image is then transformed into the Haar domain for enhanced security, followed by a twofold perturbation operation and a piece-wise linear chaotic system-based measurement generation approach for ratio allocation and security consideration. Finally, the cipher measurements are decrypted using an existing AMP-based algorithm. It is noteworthy that the keys for perturbation operations and the chaotic system are derived using the SHA512 hash. Comprehensive experimental results demonstrate that the proposed AE-AMP-BCS significantly outperforms state-of-the-art BCS methods in terms of image reconstruction quality. Its application in image encryption showcases competitive encryption capabilities, strong robustness, and outstanding image decryption quality compared to other CS-based image encryption algorithms.
Author Hou, Xingsong
Li, Junhui
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Snippet Compressed sensing (CS) has become a widely employed technique in the field of image encryption. Despite achieving a high level of data encryption security,...
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SubjectTerms Adaptive algorithms
adaptive anti-aliasing filtering
approximate message passing
block compressed sensing
Chaos theory
Data encryption
Encryption
Filtering algorithms
Haar transform
Image coding
Image encryption
Image enhancement
Image filters
Image quality
Image reconstruction
Message passing
Noise measurement
Perturbation
Security
Signal processing algorithms
Title The Design of an Adaptive Enhanced AMP-Based Image Block Compressed Sensing and Its Application to Image Encryption
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