Digital image authentication and recovery: Employing integer transform based information embedding and extraction

Chamlawi, Rafiullah; Khan, Asifullah

doi:10.1016/j.ins.2010.08.039

Cited by 58 publications

(53 citation statements)

References 34 publications

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“…On the other hand, if the watermark is embedded in the details of the wavelet-transformed image, then the accuracy in localising the tampered regions will be increased, but at the cost of robustness. Before embedding, random permutation keeps the watermark bits safe [16].…”

Section: ) Embedding Processmentioning

confidence: 99%

Intelligent Watermarking Scheme for image Authentication and Recovery

Ullah¹,

Alquhayz²

2017

ijacsa

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Abstract-Recently, researchers have proposed semi-fragile watermarking techniques with the additional capability of image recovery. However, these approaches have certain limitations with respect to capacity, imperceptibility, and robustness. In this paper, we are proposing two independent watermarks, one for image recovery and the other for authentication. The first watermark (image digest), a highly compressed version of the original image itself, is used to recover the distorted image. Unlike the traditional quantisation matrix, genetic programming based matrices are used for compression purposes. These matrices are based on the local characteristics of the original image. Furthermore, a second watermark, which is a pseudorandom binary matrix, is generated to authenticate the host image precisely. Experimental results show that the semi-fragility of the watermarks makes the proposed scheme tolerant of JPEG lossy compression and it locates the tampered regions accurately.

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Section: ) Embedding Processmentioning

confidence: 99%

Intelligent Watermarking Scheme for image Authentication and Recovery

Ullah¹,

Alquhayz²

2017

ijacsa

View full text Add to dashboard Cite

show abstract

“…For semi-fragile self-recoverable watermarking, some popular schemes have been developed [3,4,11,15,21,28,33,43]. These schemes can be classified into two categories based on the methods and functionalities of embedded watermarks.…”

Section: Related Workmentioning

confidence: 99%

“…Then, another watermark is embedded for self-recovery in case of a malicious attack. Chamlawi et al proposed a novel semi-fragile self-recovery watermarking scheme [3], in which the authentication watermarks and recovery watermarks embedded into host image are in the discrete wavelet domain. Then, robustness is enhanced by embedding the watermarks in the largest coefficient inside a group and correlating the watermarks with the quantized version of the mean of the group.…”

Section: Related Workmentioning

confidence: 99%

“…Suppose the proportion of the tampered region a is in [0.01, 0.6] with an interval of 0.01. For each a, region tampering is conducted 20 times, and the average value for P f r and P f a is obtained by using Chamlawi et al [3], Tsai et al [33], Phadikar et al [28], Li et al [17], SARM and Our method. The simulation results are shown on Fig.…”

Section: Malicious Tampering and Localizationmentioning

confidence: 99%

“…If a watermarked image suffers from modification, the self-recoverable watermarking scheme can localize the tampered region and recover the region by using hidden information in the image [3,4,9,11,12,14,15,18,19,21,22,27,28,31,33,42,43]. The self-recoverable fragile watermarking scheme does not need to tolerate content-preservation manipulations.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Semi-fragile self-recoverable watermarking algorithm based on wavelet group quantization and double authentication

Zhang

Liu

et al. 2014

Multimed Tools Appl

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Semi-fragile self-recoverable watermarking algorithms are important to meet various requirements such as security, robustness, localization, and image recovery. However, current approaches are not adequate for this importance. Thus, we propose a novel semi-fragile and self-recoverable watermarking algorithm based on a group quantization and double authentication method. In the proposed algorithm, a target image is first split into 16×16 image blocks. For each image block, a five-bit authentication watermark is generated from the first-order statistical moment of the block and then is embedded into the mid-frequency band of another image block by a novel groupbased wavelet quantization method. With the generated watermarks, image security is enhanced by randomly permuting coefficients among a group and image robustness is improved by embedding the watermark in the largest coefficient inside a sub-group by significant difference parity quantization. The proposed double authentication ring structure effectively improves the image localization accuracy. Recovered image is a better approximate to the original image. Experimental comparisons of ours with other algorithms shows the effectiveness of the proposed self-recoverable and semi-fragile watermarking algorithm.

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Image forgery detection in contourlet transform domain based on new chaotic cellular automata

Barani

Ayubi

Jalili

et al. 2015

Security Comm Networks

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Image authentication includes techniques that detect unauthorized changes in digital pictures. Image authentication is generally categorized into two primary categories, active and passive methods. In this paper, a new active image authentication method is proposed for tamper detection based on contourlet transform. Cellular automata and ‘Game of Life’ are also used to improve the detection of tampered area. A pseudo‐random number generator based on cellular automata has been used to improve security of proposed technique. We evaluates security and randomness of proposed pseudo‐random number generator using by NIST statistical test suite. Experimental results show that the proposed method is sensitive to any tampers, and it can detect forged areas of the images. Visual quality of image after embedding process is desirable due to Peak Signal‐to‐Noise Ratio (PSNR) measure. Copyright © 2015 John Wiley & Sons, Ltd.

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Digital image authentication and recovery: Employing integer transform based information embedding and extraction

Cited by 58 publications

References 34 publications

Intelligent Watermarking Scheme for image Authentication and Recovery

Intelligent Watermarking Scheme for image Authentication and Recovery

Semi-fragile self-recoverable watermarking algorithm based on wavelet group quantization and double authentication

Image forgery detection in contourlet transform domain based on new chaotic cellular automata

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