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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국정보처리학회 JIPS(Journal of Information Processing Systems) JIPS(Journal of Information Processing Systems) 제14권 제1호
- 발행연도
- 2018.1
- 수록면
- 6 - 31 (26page)
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With the rapid development of the science and technology, it has been becoming more and more convenientto obtain abundant information via the diverse multimedia medium. However, the contents of themultimedia are easily altered with different editing software, and the authenticity and the integrity ofmultimedia content are under threat. Forensics technology is developed to solve this problem. We focus onreviewing the blind image forensics technologies for copy-move forgery in this survey. Copy-move forgery isone of the most common manners to manipulate images that usually obscure the objects by flat regions orappend the objects within the same image. In this paper, two classical models of copy-move forgery arereviewed, and two frameworks of copy-move forgery detection (CMFD) methods are summarized. Then,massive CMFD methods are mainly divided into two types to retrospect the development process of CMFDtechnologies, including block-based and keypoint-based. Besides, the performance evaluation criterions andthe datasets created for evaluating the performance of CMFD methods are also collected in this review. At last,future research directions and conclusions are given to provide beneficial advice for researchers in this field.
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참고문헌 (153)
참고문헌 신청
Photo Tampering throughout History
D. Vaishnavi / 2015 / A passive technique for image forgery detection using contrast context histogram features / International Journal of Electronic Security and Digital Forensics 7(3):278~289
H. Yao / 2017 / Detecting image splicing based on noise level inconsistency / Multimedia Tools and Applications 76(10):12457~12479
B. Bayar / 2017 / On the robustness of constrained convolutional neural networks to JPEG postcompression for image resampling detection / Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing :2152~2156
J. Chen / 2015 / Median filtering forensics based on convolutional neural networks / IEEE Signal Processing Letters 22(11):1849~1853
D. Vaishnavi / 2015 / A passive technique for image forgery detection using contrast context histogram features / International Journal of Electronic Security and Digital Forensics 7(3):278~289
H. Yao / 2017 / Detecting image splicing based on noise level inconsistency / Multimedia Tools and Applications 76(10):12457~12479
B. Bayar / 2017 / On the robustness of constrained convolutional neural networks to JPEG postcompression for image resampling detection / Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing :2152~2156
J. Chen / 2015 / Median filtering forensics based on convolutional neural networks / IEEE Signal Processing Letters 22(11):1849~1853
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