TY - GEN
T1 - Perceptual image hashing via wave atom transform
AU - Liu, Fang
AU - Cheng, Lee-Ming
PY - 2012
Y1 - 2012
N2 - This paper presents a perceptual image hashing algorithm based on wave atom transform, which can authenticate the content preserved images and distinguish the content altered ones in authentication module. Wave atoms are employed since it has significantly sparser expansion and better feature extraction capability than traditional transforms, like wavelet and DCT. In addition, a randomized pixel modulation based on RC4 algorithm is performed to ensure the security. According to the experimental results, the proposed scheme is sensitive to content-alteration attacks with the resiliency to contentpreserving operations, such as JPEG compression, Gaussian noise and contrast enhancement. Moreover, compared with some other image hashing algorithms, the proposed approach also achieves better performance at the aspect of robustness. © 2012 Springer-Verlag.
AB - This paper presents a perceptual image hashing algorithm based on wave atom transform, which can authenticate the content preserved images and distinguish the content altered ones in authentication module. Wave atoms are employed since it has significantly sparser expansion and better feature extraction capability than traditional transforms, like wavelet and DCT. In addition, a randomized pixel modulation based on RC4 algorithm is performed to ensure the security. According to the experimental results, the proposed scheme is sensitive to content-alteration attacks with the resiliency to contentpreserving operations, such as JPEG compression, Gaussian noise and contrast enhancement. Moreover, compared with some other image hashing algorithms, the proposed approach also achieves better performance at the aspect of robustness. © 2012 Springer-Verlag.
KW - Authentication
KW - Image hashing
KW - Robustness
KW - Wave atom transform
UR - https://www.scopus.com/pages/publications/84865692572
UR - https://www.scopus.com/pages/publications/84865692572#tab=impact
U2 - 10.1007/978-3-642-32205-1_37
DO - 10.1007/978-3-642-32205-1_37
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 9783642322044
VL - 7128 LNCS
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 468
EP - 478
BT - Digital-Forensics and Watermarking
PB - Springer Verlag
T2 - 10th International Workshop on Digital-Forensics and Watermarking, IWDW 2011
Y2 - 23 October 2011 through 26 October 2011
ER -