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.

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.

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.

scholarly journals Semi-Fragile Watermarking with Tamper Localization and Recovery using AMBTC Method

2020 ◽  
Vol 9 (5) ◽  
pp. 54-59
Keyword(s):  
Digital Media ◽  
Extraction Process ◽  
Fragile Watermarking ◽  
Discrete Wavelet ◽  
Tamper Localization ◽  
Absolute Moment ◽  
Media Communication ◽  
Value Decomposition ◽  
Watermarking Scheme

The watermarking scheme in digital media communication has become an essential tool in helping content creators prove ownership if any dispute arises in copyright infringement. In this paper, Discrete Wavelet Transform (DWT) and Singular Value Decomposition (SVD) is performed in the watermarking process which improves the authentication of the image and the detection of the tampered region. The semi-fragile watermarking scheme provides robustness to the watermark during extraction process even after the unintentional compression attacks like JPEG compression. The watermark payload is significantly lowered in order to increase the quality of the image. The recovery is done using the absolute moment block truncation coding (AMBTC) of the image in the untampered region. Thus, both the mean and first absolute moment are used in recovering the tampered regions in the watermarked image.

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