TY - GEN
T1 - Image self-recovery based on authentication feature extraction
AU - Liu, Tong
AU - Yuan, Xiaochen
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/12
Y1 - 2020/12
N2 - This paper proposes a novel image self-recovery scheme based on authentication feature extraction. The Authentication Feature Extraction method is proposed to calculate the authentication information. The Set Partitioning in Hierarchical Trees encoding algorithm is employed to calculate the recovery information. Moreover, in order to retrieve the damaged information caused by tampering, we propose to map each block into another position and generate the mapped-recovery information accordingly. In this way, a double assurance of recovery information can be provided. Experimental results show the superior performance of the proposed scheme in terms of image self-recovery. Comparison with the state-of-the-art works demonstrate that the proposed scheme shows efficiency in strong capability for image recovery, and effectiveness of attack resistance.
AB - This paper proposes a novel image self-recovery scheme based on authentication feature extraction. The Authentication Feature Extraction method is proposed to calculate the authentication information. The Set Partitioning in Hierarchical Trees encoding algorithm is employed to calculate the recovery information. Moreover, in order to retrieve the damaged information caused by tampering, we propose to map each block into another position and generate the mapped-recovery information accordingly. In this way, a double assurance of recovery information can be provided. Experimental results show the superior performance of the proposed scheme in terms of image self-recovery. Comparison with the state-of-the-art works demonstrate that the proposed scheme shows efficiency in strong capability for image recovery, and effectiveness of attack resistance.
KW - Authentication Feature Extraction
KW - Authentication Information
KW - Image Self-Recovery
KW - Recovery Information
KW - Set Partitioning in Hierarchical Trees
UR - http://www.scopus.com/inward/record.url?scp=85101263847&partnerID=8YFLogxK
U2 - 10.1109/TrustCom50675.2020.00164
DO - 10.1109/TrustCom50675.2020.00164
M3 - Conference contribution
AN - SCOPUS:85101263847
T3 - Proceedings - 2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2020
SP - 1222
EP - 1227
BT - Proceedings - 2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2020
A2 - Wang, Guojun
A2 - Ko, Ryan
A2 - Bhuiyan, Md Zakirul Alam
A2 - Pan, Yi
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 19th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2020
Y2 - 29 December 2020 through 1 January 2021
ER -