Localized Tamper Detection in Digital Images Using Three Phase Reversible Watermarking

2021 ◽  
pp. 983-992
Author(s):  
Praneesh Gupta ◽  
Jeebananda Panda
Keyword(s):  
Digital Images ◽  
Reversible Watermarking ◽  
Tamper Detection ◽  
Three Phase

Tattooing Attack

2014 ◽  
Vol 6 (3) ◽  
pp. 30-46
Author(s):  
Jia-Hong Li ◽  
Tzung-Her Chen ◽  
Wei-Bin Lee
Keyword(s):  
Digital Images ◽  
Image Authentication ◽  
Tamper Detection ◽  
Authentication Scheme ◽  
Tampering Detection ◽  
New Type ◽  
Detection Schemes

Image authentication must be able to verify the origin and the integrity of digital images, and some research has made efforts in that. In this paper, we reveal a new type of malicious alteration which we call the “Tattooing Attack”. It can successfully alter the protected image if the collision of the authentication bits corresponding to the altered image and the original watermarking image can be found. To make our point, we chose Chang et al.'s image authentication scheme based on watermarking techniques for tampering detection as an example. The authors will analyze the reasons why the attack is successful, and then they delineate the conditions making the attack possible. Since the result can be generally applied into other schemes, the authors evaluate such schemes to examine the soundness of these conditions. Finally, a solution is provided for all tamper detection schemes suffering from the Tattooing Attack.

An Adaptive Curvelet Based Semi-Fragile Watermarking Scheme for Effective and Intelligent Tampering Classification and Recovery of Digital Images

2018 ◽  
Vol 5 (2) ◽  
pp. 69-94
Author(s):  
K R Chetan ◽  
S Nirmala
Keyword(s):  
Digital Images ◽  
Similarity Index ◽  
Curvelet Transform ◽  
Input Image ◽  
Tamper Detection ◽  
Fragile Watermarking ◽  
Feature Similarity ◽  
Feature Similarity Index ◽  
Index Value ◽  
Watermarking Scheme

A novel adaptive semi-fragile watermarking scheme for tamper detection and recovery of digital images is proposed in this paper. This scheme involves embedding of content and chroma watermarks generated from the first level Discrete Curvelet Transform (DCLT) coarse coefficients. Embedding is performed by quantizing the first level coarse DCLT coefficients of the input image and amount of quantization is intelligently decided based on the energy contribution of the coefficients. During watermark extraction, a tampered matrix is generated by comparing the feature similarity index value between each block of extracted and generated watermarks. The tampered objects are subsequently identified and an intelligent report is formed based on their severity classes. The recovery of the tampered objects is performed using the generated DCLT coefficients from luminance and chrominance components of the watermarked image. Results reveal that the proposed method outperforms existing method in terms of tamper detection and recovery of digital images.

scholarly journals Security Protection of DICOM Medical Images Using Dual-Layer Reversible Watermarking with Tamper Detection Capability

2010 ◽  
Vol 24 (3) ◽  
pp. 528-540 ◽  
Author(s):  
Chun Kiat Tan ◽  
Jason Changwei Ng ◽  
Xiaotian Xu ◽  
Chueh Loo Poh ◽  
Yong Liang Guan ◽  
...  
Keyword(s):  
Medical Images ◽  
Reversible Watermarking ◽  
Tamper Detection ◽  
Detection Capability

scholarly journals Passive Copy-Move Tamper Detection Methods for Digital Images

2019 ◽  
Vol 8 (3) ◽  
pp. 5882-5887
Keyword(s):  
Digital Images ◽  
Research Area ◽  
Tamper Detection ◽  
Detection Methods ◽  
Zernike Moment ◽  
Detection Accuracy ◽  
Data Sets ◽  
Research Application ◽  
Challenges And Opportunities ◽  
Significant Research

Copy-move tamper discovery in digital image is a significant research application in forensic investigation. Developing an imperative and reliable means to discover copy-move tampering in order to guarantee the authenticity of digital images is a solitary research area in image processing. This category of tampering is performed to hide some unwanted information or duplicate certain region of image. This article introduces a generic algorithmic skeleton to copy-move tamper discovery Experiments are carried out on three states of art copy-move tamper detection methods with respect to three different data sets. Empirical results indicates that PCA based method is better than Frequency transformation and Zernike moment based method in terms of detection accuracy in all three data sets. This article also identified the key challenges and opportunities in copy-move tamper detection.

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