TY - JOUR
T1 - Watermarking Framework for Authentication and Self-recovery of Tampered Colour Images
AU - Molina, Javier
AU - Ponomaryov, Volodymyr
AU - Reyes, Rogelio
AU - Sadovnychiy, Sergiy
AU - Cruz, Clara
N1 - Publisher Copyright:
© 2003-2012 IEEE.
PY - 2020/3
Y1 - 2020/3
N2 - Methods of authentication and self-recovery of tampered information in digital images have been in constant development during the last years. These frameworks are developed by watermarking techniques, which generate an image digest, which is embedded inside the image that must be protected. In this paper, a method of authentication and self-recovery of tampered information in digital images is proposed. Our approach first generates the authentication watermarks, which are based on XOR operations on non-overlapping blocks, subsequently by using a halftoning technique the recovery watermark is generated. To have a higher performance, three copies of each watermark are embedded to have more chance to extract the recovery watermark. To evaluate the quality of the obtained images, the objective criterion of peak signal-to-noise ratio (PSNR) and Structural Similarity Index (SSIM) are used. The experimental results demonstrate the effectiveness of our method in comparisons with other schemes reported in the literature, where the quality of the watermarked images, the quality of the reconstruction images and the recovery rate of each scheme were evaluated.
AB - Methods of authentication and self-recovery of tampered information in digital images have been in constant development during the last years. These frameworks are developed by watermarking techniques, which generate an image digest, which is embedded inside the image that must be protected. In this paper, a method of authentication and self-recovery of tampered information in digital images is proposed. Our approach first generates the authentication watermarks, which are based on XOR operations on non-overlapping blocks, subsequently by using a halftoning technique the recovery watermark is generated. To have a higher performance, three copies of each watermark are embedded to have more chance to extract the recovery watermark. To evaluate the quality of the obtained images, the objective criterion of peak signal-to-noise ratio (PSNR) and Structural Similarity Index (SSIM) are used. The experimental results demonstrate the effectiveness of our method in comparisons with other schemes reported in the literature, where the quality of the watermarked images, the quality of the reconstruction images and the recovery rate of each scheme were evaluated.
KW - Halftoning
KW - Image Authentication
KW - Image Coding
KW - Image Watermarking
KW - Image restoration
KW - Self-recovery
UR - http://www.scopus.com/inward/record.url?scp=85084286912&partnerID=8YFLogxK
U2 - 10.1109/TLA.2020.9082736
DO - 10.1109/TLA.2020.9082736
M3 - Artículo
SN - 1548-0992
VL - 18
SP - 631
EP - 638
JO - IEEE Latin America Transactions
JF - IEEE Latin America Transactions
IS - 3
M1 - 9082736
ER -