CV-SIFT Algorithm for Image Detection
Yuyin Cui, Yunting Lei
Available Online April 2013.
- 10.2991/3ca-13.2013.71How to use a DOI?
- digital image, tampering algorithms, digital watermarking
With the development of technology, digital image tampering technology is becoming mature. It is difficult to directly determine from the naked eye whether a digital image has been modified. Furthermore, many digital watermarking in digital images cannot be identified, since the importance of it is neglect .In view of the wide use of digital image , such as evidence in court, a series of algorithms are designed to detect whether the digital image has been tampered.
- © 2013, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Yuyin Cui AU - Yunting Lei PY - 2013/04 DA - 2013/04 TI - CV-SIFT Algorithm for Image Detection BT - Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation PB - Atlantis Press SP - 285 EP - 287 SN - 1951-6851 UR - https://doi.org/10.2991/3ca-13.2013.71 DO - 10.2991/3ca-13.2013.71 ID - Cui2013/04 ER -