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The Scientific World Journal
Volume 2014, Article ID 262356, 8 pages
http://dx.doi.org/10.1155/2014/262356
Research Article

Detecting Image Splicing Using Merged Features in Chroma Space

School of Automation, Nanjing University of Science & Technology, Nanjing 210094, China

Received 29 August 2013; Accepted 29 October 2013; Published 16 January 2014

Academic Editors: S. Bourennane and J. Marot

Copyright © 2014 Bo Xu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [2 citations]

The following is the list of published articles that have cited the current article.

  • Arun Anoop M, “Image forgery and its detection: A survey,” 2015 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS), pp. 1–9, . View at Publisher · View at Google Scholar
  • Jia-Xin Li, Tie-Gang Gao, and Yun-Ni Lai, “An image splicing blind detection method combining run-length with steganalysis feature,” Guangdianzi Jiguang/Journal of Optoelectronics Laser, vol. 26, no. 7, pp. 1387–1393, 2015. View at Publisher · View at Google Scholar