TY - GEN
T1 - New developments in color image tampering detection
AU - Sutthiwan, Patchara
AU - Shi, Yun Qing
AU - Dong, Jing
AU - Tan, Tieniu
AU - Ng, Tian Tsong
PY - 2010
Y1 - 2010
N2 - In this paper, an efficient framework for passive-blind color image tampering detection is presented. Statistical features are extracted from a given test image and a set of 2-D arrays derived by applying multi-size block discrete cosine transform to the given test image. Image features are extracted from Cr channel, a chroma channel in YCbCr color space, because of its observed sensitivity to color image tampering. A support vector machine is employed to evaluate the effectiveness of image features over a color image dataset recently established for tampering detection. Boosting feature selection is applied to having feature dimensionality reduced so as to make detection accuracy generalizable and computational complexity decreased. Experimental results have demonstrated that the proposed framework applied to the aforementioned dataset outperforms the state of the arts by distinct margins.
AB - In this paper, an efficient framework for passive-blind color image tampering detection is presented. Statistical features are extracted from a given test image and a set of 2-D arrays derived by applying multi-size block discrete cosine transform to the given test image. Image features are extracted from Cr channel, a chroma channel in YCbCr color space, because of its observed sensitivity to color image tampering. A support vector machine is employed to evaluate the effectiveness of image features over a color image dataset recently established for tampering detection. Boosting feature selection is applied to having feature dimensionality reduced so as to make detection accuracy generalizable and computational complexity decreased. Experimental results have demonstrated that the proposed framework applied to the aforementioned dataset outperforms the state of the arts by distinct margins.
KW - Boosting feature selection
KW - Color image tampering detection
KW - Markov process
KW - Moments of characteristic functions
KW - Multi-size block discrete cosine transform
KW - Support vector machine
UR - http://www.scopus.com/inward/record.url?scp=77956006938&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77956006938&partnerID=8YFLogxK
U2 - 10.1109/ISCAS.2010.5537980
DO - 10.1109/ISCAS.2010.5537980
M3 - Conference contribution
AN - SCOPUS:77956006938
SN - 9781424453085
T3 - ISCAS 2010 - 2010 IEEE International Symposium on Circuits and Systems: Nano-Bio Circuit Fabrics and Systems
SP - 3064
EP - 3067
BT - ISCAS 2010 - 2010 IEEE International Symposium on Circuits and Systems
T2 - 2010 IEEE International Symposium on Circuits and Systems: Nano-Bio Circuit Fabrics and Systems, ISCAS 2010
Y2 - 30 May 2010 through 2 June 2010
ER -