TY - GEN
T1 - Watermarking-based self-recovery and authentication framework for colour images
AU - Molina, J.
AU - Ponomaryov, V.
AU - Reyes, R.
AU - Cruz, C.
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/5
Y1 - 2019/5
N2 - In this paper, a method of self-recovery and tamper detection applied to color images is proposed. Designed framework divides the image into non-overlapped blocks, and for each block watermarks are generated, which are applied to tamper detection and recovery. In order to avoid the tampering coincidence problem, generated watermarks by each block are embedded using the LSB method in a different block in an embedding sequence, which is generated by a seed. During the authentication and recovery process, previously embedded watermarks in each block are extracted and can locate modified regions, following recovering the manipulated block via usage its recovery watermark. To obtain a better performance the designed scheme embeds three versions of the watermarks generated for each block. In simulation, the quality metrics PSNR (Peak Signal-To-Noise Ratio) and SSIM (Structural Similarity Image Measure) were used, justifying better performance during the recovery process at different tampering rates via comparing the designed scheme with similar state-of-The-Art methods.
AB - In this paper, a method of self-recovery and tamper detection applied to color images is proposed. Designed framework divides the image into non-overlapped blocks, and for each block watermarks are generated, which are applied to tamper detection and recovery. In order to avoid the tampering coincidence problem, generated watermarks by each block are embedded using the LSB method in a different block in an embedding sequence, which is generated by a seed. During the authentication and recovery process, previously embedded watermarks in each block are extracted and can locate modified regions, following recovering the manipulated block via usage its recovery watermark. To obtain a better performance the designed scheme embeds three versions of the watermarks generated for each block. In simulation, the quality metrics PSNR (Peak Signal-To-Noise Ratio) and SSIM (Structural Similarity Image Measure) were used, justifying better performance during the recovery process at different tampering rates via comparing the designed scheme with similar state-of-The-Art methods.
KW - Halftoning
KW - Image Authentication
KW - Image Restoration
KW - Image Self-Recovery
KW - Image Watermarking
UR - http://www.scopus.com/inward/record.url?scp=85068432772&partnerID=8YFLogxK
U2 - 10.1109/IWBF.2019.8739211
DO - 10.1109/IWBF.2019.8739211
M3 - Contribución a la conferencia
AN - SCOPUS:85068432772
T3 - 2019 7th International Workshop on Biometrics and Forensics, IWBF 2019
BT - 2019 7th International Workshop on Biometrics and Forensics, IWBF 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th International Workshop on Biometrics and Forensics, IWBF 2019
Y2 - 2 May 2019 through 3 May 2019
ER -