TY - GEN
T1 - Enhancment of image tampering detection using JPEG's quantization and re-interpolation processes
AU - Teerakanok, Songpon
AU - Tetsutaro, Uehara
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/9/21
Y1 - 2015/9/21
N2 - Recently, image forgery has become one of the critical issue in today information security. With easy-to-find and easy-to-use photo editing software, the integrity of an image can be no longer trusted. In this paper, we proposed a novel technique using 2-dimensional cross product in combining two existing image forgery detection techniques: JPEG quantization noise and interpolation based techniques. By combining two existing methods, efficiency of detection method and accuracy of locating of the tampered areas within the suspect image are increased. As results, it is shown that, in our experiments on real tampered images, our proposed algorithm give the better results in detection with lesser amount of noise and higher contrast between tampered region and the rest of the image. Considering the use of automatic image forgery detection system, with our proposed mechanism, the accuracy of the automatic forgery detection system will be increased significantly.
AB - Recently, image forgery has become one of the critical issue in today information security. With easy-to-find and easy-to-use photo editing software, the integrity of an image can be no longer trusted. In this paper, we proposed a novel technique using 2-dimensional cross product in combining two existing image forgery detection techniques: JPEG quantization noise and interpolation based techniques. By combining two existing methods, efficiency of detection method and accuracy of locating of the tampered areas within the suspect image are increased. As results, it is shown that, in our experiments on real tampered images, our proposed algorithm give the better results in detection with lesser amount of noise and higher contrast between tampered region and the rest of the image. Considering the use of automatic image forgery detection system, with our proposed mechanism, the accuracy of the automatic forgery detection system will be increased significantly.
KW - 2-dimensional cross product
KW - Image forgery
KW - JPEG quantization
KW - Re-interpolation
KW - Tampering detection
UR - https://www.scopus.com/pages/publications/84962076944
U2 - 10.1109/COMPSAC.2015.167
DO - 10.1109/COMPSAC.2015.167
M3 - Conference contribution
AN - SCOPUS:84962076944
T3 - Proceedings - International Computer Software and Applications Conference
SP - 35
EP - 39
BT - Proceedings - 2015 IEEE 39th Annual Computer Software and Applications Conference Workshops, COMPSACW 2015
A2 - Ahamed, Sheikh Iqbal
A2 - Chang, Carl K.
A2 - Chu, William
A2 - Crnkovic, Ivica
A2 - Hsiung, Pao-Ann
A2 - Huang, Gang
A2 - Yang, Jingwei
PB - IEEE Computer Society
T2 - 39th Annual IEEE Computer Software and Applications Conference Workshops, COMPSACW 2015
Y2 - 1 July 2015 through 5 July 2015
ER -