Laser & Optoelectronics Progress, Volume. 59, Issue 2, 0211001(2022)

Tampered Image Recognition Algorithm Based on Progressive Hybrid Feature

Yihang Peng, Wujian Ye*, and Yijun Liu
Author Affiliations
  • School of Information Engineering, Guangdong University of Technology, Guangzhou , Guangdong 510006, China
  • show less
    References(30)

    [1] Fridrich A J, Soukal B D, Lukáš A J. Detection of copy-move forgery in digital images[C], 342-358(2003).

    [11] Wang J W, Liu G J, Zhang Z et al. Fast and robust forensics for image region-duplication forgery[J]. Acta Automatica Sinica, 35, 1488-1495(2009).

    [16] Zhao J, Guo J C. Passive forensics for region duplication image forgery using Harris feature points and annular average representation[J]. Journal of Data Acquisition and Processing, 30, 164-174(2015).

    [28] Wang J, Zhang Y C, Huo Z Q et al. Image tampering detection method based on approximate nearest neighbor search[J]. Laser & Optoelectronics Progress, 57, 101102(2020).

    Tools

    Get Citation

    Copy Citation Text

    Yihang Peng, Wujian Ye, Yijun Liu. Tampered Image Recognition Algorithm Based on Progressive Hybrid Feature[J]. Laser & Optoelectronics Progress, 2022, 59(2): 0211001

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Imaging Systems

    Received: Dec. 19, 2020

    Accepted: Mar. 9, 2021

    Published Online: Dec. 23, 2021

    The Author Email: Ye Wujian (yewjian@126.com)

    DOI:10.3788/LOP202259.0211001

    Topics