A Faber Schauder Dominant Blocks Based Fragile Watermarking Scheme For Image Tamper Detection

被引:0
作者
Azeroual, Assma [1 ]
Afdel, Karim [1 ]
机构
[1] Fac Sci Agadir, Comp Syst & Vis Lab, Agadir, Morocco
来源
2016 INTERNATIONAL CONFERENCE ON ELECTRICAL AND INFORMATION TECHNOLOGIES (ICEIT) | 2016年
关键词
Image authentication; Fragile watermarking; Tamper detection; Faber Schauder dominant blocks; Singular value decomposition; BINARY IMAGE; AUTHENTICATION;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The need of digital content authentication is increasing, due to the easier the digital content modification becomes, that is owing to the technology development. Several fragile watermarking based methods have been proposed to authenticate image. In such methods, a mark is embedded into the digital image to authenticate it. There is a few methods that deal with algorithm complexity, hence it can not be used for the applications that require low complexity such as real-time applications and video processing applications. We propose in this paper, a Faber Schauder dominant blocks based fragile watermarking scheme for image tamper detection. The Watermark was generated by applying Xor operation between a logo's bits and the bits of dominant blocks singular values of the image to authenticate. These dominant blocks are obtained by applying Faber Schauder Discrete Wavelet Transform (FSDWT) to that image. Since the image is characterized by its contours and its around textures which contain an important concentration of dominant coefficients-that form dominant blocks-, any image modification will result in a significant change of the dominant blocks singular values, which lead to detect the authenticity of the image. Furthermore, FSDWT is composed of simple operations, thus the algorithm have a low complexity. Experimental results and analysis demonstrate the effectiveness of the proposed method.
引用
收藏
页码:380 / 385
页数:6
相关论文
共 50 条
[21]   A tamper detection suitable fragile watermarking scheme based on novel payload embedding strategy [J].
Shiv Prasad ;
Arup Kumar Pal .
Multimedia Tools and Applications, 2020, 79 :1673-1705
[22]   An Efficient Fragile Watermarking Scheme for Pixel-wise Tamper Detection [J].
Lee, Yang-Kuo ;
Chang, Jen-Chun ;
Wu, Hsin-Lung ;
Chen, Rong-Jaye .
2012 SIXTH INTERNATIONAL CONFERENCE ON GENETIC AND EVOLUTIONARY COMPUTING (ICGEC), 2012, :149-152
[23]   SVD based fragile watermarking scheme for tamper localization and self-recovery [J].
Ansari, Irshad Ahmad ;
Pant, Millie ;
Ahn, Chang Wook .
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2016, 7 (06) :1225-1239
[24]   A Block-Level Image Tamper Detection Scheme Using Modulus Function Based Fragile Watermarking [J].
Shiv Prasad ;
Arup Kumar Pal ;
Srilekha Paul .
Wireless Personal Communications, 2022, 125 :2581-2619
[25]   A Block-Level Image Tamper Detection Scheme Using Modulus Function Based Fragile Watermarking [J].
Prasad, Shiv ;
Pal, Arup Kumar ;
Paul, Srilekha .
WIRELESS PERSONAL COMMUNICATIONS, 2022, 125 (03) :2581-2619
[26]   A Context Dependent Fragile Watermarking Scheme for Tamper Detection from Demosaicked Color Images [J].
Manikandan, V. M. ;
Masilamani, V. .
TENTH INDIAN CONFERENCE ON COMPUTER VISION, GRAPHICS AND IMAGE PROCESSING (ICVGIP 2016), 2016,
[27]   A ROI-BASED SEMI-FRAGILE WATERMARKING FOR IMAGE TAMPER DETECTION AND RECOVERY [J].
Lin, Shinfeng D. ;
Lin, Jia-Hong ;
Chen, Chun-Yen .
INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 2011, 7 (12) :6875-6888
[28]   Image Fragile Watermarking with Two Authentication Components for Tamper Detection and Recovery [J].
Rakhmawati, Lusia ;
Wirawan ;
Suwadi .
2018 INTERNATIONAL CONFERENCE ON INTELLIGENT AUTONOMOUS SYSTEMS (ICOIAS), 2018, :35-38
[29]   ACTIVE IMAGE FORGERY DETECTION SCHEME BASED ON SEMI-FRAGILE WATERMARKING [J].
Preda, Radu Ovidiu ;
Vizireanu, Dragos Nicolae ;
Halunga, Simona .
REVUE ROUMAINE DES SCIENCES TECHNIQUES-SERIE ELECTROTECHNIQUE ET ENERGETIQUE, 2016, 61 (01) :58-62
[30]   Approximate regeneration of image using fragile watermarking for tamper detection and recovery in real time [J].
Sisaudia, Varsha ;
Vishwakarma, Virendra P. .
MULTIMEDIA TOOLS AND APPLICATIONS, 2024, 83 (25) :66299-66318