TRLH: Fragile and blind dual watermarking for image tamper detection and self-recovery based on lifting wavelet transform and halftoning technique

Haghighi, Behrouz Bolourian; Taherinia, Amir Hossein; Harati, Ahad

doi:10.1016/j.jvcir.2017.09.017

Cited by 49 publications

(20 citation statements)

References 22 publications

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“…The watermarking approach used in our dissertation work for tamper detection and self-recovery is dual in nature [10]. It is type of watermarking technique which is fragile and blind in nature.…”

Section: Methodsmentioning

confidence: 99%

Securing Image Using Enhanced Watermarking Technique

Gupta¹,

Baraskar²,

Agrawal³

2019

IJITEE

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The image is significantly used in applications such as medical area, research area, image conferencing, a military image system, online transactions, digital signatures, passwords etc. But not everyone who uses this network is going to play by the rules or have the best interest at heart. Just as we have physical security like locks, fences and police officers to minimize crime in the real world. We need some security to minimize crime and harm in the virtual world. Three important factors form the security objectives of the digital content: they are Availability, Confidentiality, and Integrity. Watermarking techniques along with some Cryptography are used to protect the confidentiality of data. Watermarking is basically a process of injecting data into an image in such a way that it can depict the authenticity of those possessing it. The digital information hidden inside an image is imperceptible to the user but can be easily detected by a computer or various digital devices. Watermarking Technique has proved to be a powerful technique for image security and a lot of research has been made over the years to how to embed the watermarks and recover the watermarks effectively. These types of technique where watermark can be fully extracted from the image and along with the restoration of the cover are popularly known as Reversible Watermarking techniques. These techniques have significantly gained importance due to this excellent recovering property making them suitable for content authentication based applications. However, they are not able to identify any modifications or changes done in watermark making it susceptible to tamper location-based attacks. Due to the rapid development of watermarking techniques, a concluding review of recent research in this field is highly desirable. However, the major focus of this paper is on tamper localization based reversible watermarking techniques.

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Section: Methodsmentioning

confidence: 99%

Securing Image Using Enhanced Watermarking Technique

Gupta¹,

Baraskar²,

Agrawal³

2019

IJITEE

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“…Although the sequence is random, the remainder of the elements in the same column are equal, and the performance in the face of column tampering is poor. Arnold transform [4][5][6] and Variant torus automorphism [3] are used to guarantee the randomness of the sequence, but it is not safe because both of them are periodic. Based on Arnold's Transform algorithm, Tai and Liao [5] remapped the watermark block mapped to the vicinity of the original block, which improves the security of the watermarked image.…”

Section: Block Mappingmentioning

confidence: 99%

“…Since the recovery information is formed by the upper 5-bits of the p i or p i , its maximum value p max and minimum value p min can be obtained by Equations (5) and (6).…”

Section:  mentioning

confidence: 99%

“…The Hamming code is used to construct the authentication information. To improve the security of Those algorithms, Arnold transform [4][5][6] is applied in the procedure to map the relationship of the blocks.…”

Section: Introductionmentioning

confidence: 99%

“…The algorithms in the transform domain first map the image into the other domain, such as discrete wavelet transform(DWT) [5,7,8], discrete cosine transform(DCT) [9][10][11], and lifting wavelet transform(LWT) [6]. Due to characteristics of the transform domain, the authentication and recovery information are generated by coefficients of the transform domain.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Novel Image Tamper Detection and Self-Recovery Algorithm Based on Watermarking and Chaotic System

Song

Zhao

et al. 2019

Mathematics

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With the development of image editing software techniques, the content integrity and authenticity of original digital images become more and more important in digital content security. A novel image tampering detection and recovery algorithm based on digital watermarking technology and a chaotic system is proposed, and it can effectively locate the tampering region and achieve the approximate recovery of the original image by using the hidden information. The pseudo-random cyclic chain is realized by the chaotic system to construct the mapping relationship between the image subblocks. It can effectively guarantee the randomness of the positional relationship between the hidden information and the original image block for the better ergodicity of the pseudo-random chain. The recovery value optimization algorithm can represent image information better. In addition to the traditional Level-1 recovery, a weight adaptive algorithm is designed to distinguish the original block from the primary recovery block, allowing 3 × 3 neighbor block recovery to achieve better results. The experimental results show that the hierarchical tamper detection algorithm makes tamper detection have higher precision. When facing collage attacks and large general tampering, it will have higher recovery image quality and better resistance performance.

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