A block-based watermarking scheme for image tamper detection and self-recovery

2013 ◽  
Vol 21 (2) ◽  
Author(s):  
Y. Chang ◽  
W. Tai
Keyword(s):  
Hierarchical Structure ◽  
Vector Quantization ◽  
Visual Quality ◽  
Tamper Detection ◽  
Fragile Watermarking ◽  
Experimental Results ◽  
Parity Check ◽  
Tamper Localization ◽  
Block Based ◽  
Watermarking Scheme

AbstractIn this paper, we present an effective block-based digital fragile watermarking scheme for image tamper detection and recovery. The proposed scheme embeds watermarks consisting of the authentication data and the recovery data into image blocks. It adopts parity check and the intensity-relation check to thwart various malicious attacks. In the tamper detection process, instead of independently testing the embedded authentication data of each block, we take the block-neighbourhood into account and utilize a hierarchical structure to determine the legitimacy of image blocks. Experimental results show that the proposed scheme can effectively resist collage attack, vector quantization (VQ) attack and constant-average attack, while sustaining superior accuracy of tamper localization. Furthermore, the results reveal that the tampered images can be successfully self-recovered with acceptable visual quality.

Block-based Reversible Fragile Watermarking for 2D Vector Map Authentication

2015 ◽  
Vol 7 (3) ◽  
pp. 60-80 ◽  
Author(s):  
Nana Wang ◽  
Xiangjun Zhao ◽  
Han Zhang
Keyword(s):  
Computational Complexity ◽  
Reversible Watermarking ◽  
Fragile Watermarking ◽  
Experimental Results ◽  
Malicious Attacks ◽  
Tamper Localization ◽  
Vector Map ◽  
Concentric Circles ◽  
Block Based ◽  
2D Vector Map

In this paper, the authors propose a block-based reversible watermarking method for 2D vector map authentication. In the scheme, they divide the features of a vector map into different categories of blocks, calculate an authentication watermark for each block, and embed the watermarks of different blocks using a reversible watermarking method based on virtual coordinates and a fragile watermarking algorithm based on concentric circles. While the block division ensures superior accuracy of tamper localization, the two watermarking methods provide recovery of the original content. Experimental results show that the proposed scheme has good invisibility, reversibility and computational complexity, and can accurately locate malicious attacks such as vertex modification/addition/deletion and feature modification/addition/deletion.

A Novel Self-Embedding Watermarking Scheme for Image Tamper Detection and Recovery

2013 ◽  
Vol 325-326 ◽  
pp. 1555-1558
Author(s):  
Jun Peng Zhang ◽  
Qing Fan Zhang ◽  
Xiu Ying Xie
Keyword(s):  
Random Sequence ◽  
Tamper Detection ◽  
Fragile Watermarking ◽  
Tamper Localization ◽  
Recovery Algorithm ◽  
Non Linear ◽  
Dct Coefficients ◽  
Watermarking Scheme

In this paper, an effective self-embedding fragile watermarking scheme is proposed. The watermark is generated by encoding the DCT coefficients of each 2×2 block and embedded into another block. A non-linear pseudo random sequence is used for generating the block mapping which can enhance the security of the algorithm. An improved tamper localization and recovery algorithm are performed. The experiment results show that the tamper region can be successfully localized and exactly recovered, even if under the content-only tampering.

An Efficient Blind Fragile Watermarking Scheme for Tamper Localization

2021 ◽  
pp. 749-757
Author(s):  
Shambhu Shankar Bharti ◽  
Shivendra Shivani ◽  
Sudhir Kumar Pandey ◽  
Suneeta Agarwal
Keyword(s):  
Fragile Watermarking ◽  
Tamper Localization ◽  
Watermarking Scheme

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.

A Novel Medical Image Tamper Detection and Recovery Scheme using LSB Embedding and PWLCM

2014 ◽  
Vol 6 (2) ◽  
pp. 1-22
Author(s):  
Lin Gao ◽  
Tiegang Gao
Keyword(s):  
Medical Image ◽  
Piecewise Linear ◽  
Chaotic Map ◽  
Visual Quality ◽  
Tamper Detection ◽  
Experimental Results ◽  
Least Significant Bit ◽  
Piecewise Linear Chaotic Map ◽  
Watermark Embedding ◽  
Recovery Scheme

A novel medical image tamper detection and recovery scheme based on Least Significant Bit (LSB) embedding and Piecewise Linear Chaotic Map (PWLCM) is proposed in the paper. To meet the demand of medical usage, the proposed scheme not only improved the precision of detection compared with block-wise scheme of watermark embedding, but also guaranteed the security of the scheme by applying PWLCM. To evaluate the proposed scheme, a former scheme proposed by Xiao et al is used for comparison; the two scheme's visual quality, accuracy of detection, recovery quality and security are tested during the experiment. The experimental results suggest that the proposed scheme meets the demand of visual quality and security for using in medical image tamper detection and recovery.

Semi-Fragile Image Watermarking, Authentication and Localization Techniques for Law Enforcement Applications

2010 ◽  
pp. 176-203 ◽  
Author(s):  
Xi Zhao ◽  
Anthony T.S. Ho
Keyword(s):  
Law Enforcement ◽  
Gaussian Noise ◽  
Image Watermarking ◽  
Standard Test ◽  
Fragile Watermarking ◽  
Experimental Results ◽  
Traffic Violations ◽  
Block Based ◽  
Copy And Paste ◽  
Contrast Stretching

With the tremendous growth and use of digital cameras and video devices, the need to verify the collected digital content for law enforcement applications such as crime scene investigations and traffic violations, becomes paramount if they are to be used as evidence in courts. Semi-fragile watermarking has become increasingly important within the past few years as it can be used to verify the content of images by accurately localising the tampered area and tolerating some non-malicious manipulations. There have been a number of different transforms used for semi-fragile image watermarking. In this chapter, we present two novel transforms for semi-fragile watermarking, using the Slant transform (SLT) as a block-based algorithm and the wavelet-based contourlet transform (WBCT) as a non-block based algorithm. The proposed SLT is compared with existing DCT and PST semi-fragile watermarking schemes. Experimental results using standard test images and simulated law enforcement images indicate that the SLT is more accurate for copy and paste attacks with non-malicious manipulations, such as additive Gaussian noise. For the proposed WBCT method, watermarking embedding is performed by modulating the parent-children relationship in the contourlet domain. Again, experimental results using the same test images have demonstrated that our proposed WBCT method achieves good performances in localising the tampered regions, even when the image has been subjected to non-malicious manipulations such as JPEG/JPEG2000 compressions, Gaussian noise, Gaussian filtering, and contrast stretching. The average miss detection rate is found to be approximately 1% while maintaining an average false alarm rate below 6.5%.

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