IMPROVED DCT COEFFICIENT ANALYSIS FOR FORGERY LOCALIZATION IN JPEG IMAGES

被引:0
|
作者
Bianchi, Tiziano [1 ]
De Rosa, Alessia [1 ]
Piva, Alessandro [1 ]
机构
[1] Univ Florence, Dip Elettron & Telecomunicaz, I-50139 Florence, Italy
关键词
multimedia forensics; JPEG artifacts; Bayesian inference; forgery localization;
D O I
暂无
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
In this paper, we propose a statistical test to discriminate between original and forged regions in JPEG images, under the hypothesis that the former are doubly compressed while the latter are singly compressed. New probability models for the DCT coefficients of singly and doubly compressed regions are proposed, together with a reliable method for estimating the primary quantization factor in the case of double compression. Based on such models, the probability for each DCT block to be forged is derived. Experimental results demonstrate a better discriminating behavior with respect to previously proposed methods.
引用
收藏
页码:2444 / 2447
页数:4
相关论文
共 50 条
  • [31] Detection of shifted double JPEG compression by an adaptive DCT coefficient model
    Wang, Shi-Lin
    Liew, Alan Wee-Chung
    Li, Sheng-Hong
    Zhang, Yu-Jin
    Li, Jian-Hua
    EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING, 2014, : 1 - 17
  • [32] Passive detection of copy-paste forgery between JPEG images
    Xiang-hua Li
    Yu-qian Zhao
    Miao Liao
    F. Y. Shih
    Y. Q. Shi
    Journal of Central South University, 2012, 19 : 2839 - 2851
  • [33] Forgery detection using feature-clustering in recompressed JPEG images
    Bhartiya, Gunjan
    Jalal, Anand Singh
    MULTIMEDIA TOOLS AND APPLICATIONS, 2017, 76 (20) : 20799 - 20814
  • [34] Detection of shifted double JPEG compression by an adaptive DCT coefficient model
    Shi-Lin Wang
    Alan Wee-Chung Liew
    Sheng-Hong Li
    Yu-Jin Zhang
    Jian-Hua Li
    EURASIP Journal on Advances in Signal Processing, 2014
  • [35] Forgery detection using feature-clustering in recompressed JPEG images
    Gunjan Bhartiya
    Anand Singh Jalal
    Multimedia Tools and Applications, 2017, 76 : 20799 - 20814
  • [36] Detection of Contrast Enhancement Forgery in Previously and Post Compressed JPEG Images
    Suryawanshi, Pornima
    Padiya, Puja
    Mane, Vanita
    2019 IEEE 5TH INTERNATIONAL CONFERENCE FOR CONVERGENCE IN TECHNOLOGY (I2CT), 2019,
  • [37] Image Forgery Detection Using Feature Based Clustering in JPEG Images
    Bhartiya, Gunjan
    Jalal, Anand Singh
    2014 9TH INTERNATIONAL CONFERENCE ON INDUSTRIAL AND INFORMATION SYSTEMS (ICIIS), 2014, : 630 - +
  • [38] Passive detection of copy-paste forgery between JPEG images
    李香花
    赵于前
    廖苗
    F.Y.Shih
    Y.Q.Shi
    Journal of Central South University, 2012, 19 (10) : 2839 - 2851
  • [39] Passive detection of copy-paste forgery between JPEG images
    Li Xiang-hua
    Zhao Yu-qian
    Liao Miao
    Shih, F. Y.
    Shi, Y. Q.
    JOURNAL OF CENTRAL SOUTH UNIVERSITY, 2012, 19 (10) : 2839 - 2851
  • [40] SPOTTING THE DIFFERENCE: CONTEXT RETRIEVAL AND ANALYSIS FOR IMPROVED FORGERY DETECTION AND LOCALIZATION
    Brogan, Joel
    Bestagini, Paolo
    Bharati, Aparna
    Pinto, Allan
    Moreira, Daniel
    Bowyer, Kevin
    Flynn, Patrick
    Rocha, Anderson
    Scheirer, Walter
    2017 24TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2017, : 4078 - 4082