A New Zero-Watermarking Algorithm Resisting Attacks Based on Differences Hashing

Han, Baoru; Li, Jingbing

doi:10.1515/cait-2016-0026

Cited by 4 publications

(3 citation statements)

References 16 publications

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“…While robustness means that the watermark should not be lost by any kind of image processing from unauthorized parties. The imperceptibility and robustness are trade-off constraints that usually conflict with each other, where increasing the imperceptibility will decrease the robustness and vice versa [4].…”

Section: Introductionmentioning

confidence: 99%

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Visual Quality Improvement of Watermarked Image Based on Singular Value Decomposition Using Walsh Hadamard Transform

Marjuni

Fanani

Nurhayati

2023

Cybernetics and Information Technologies

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Embedding the watermark is still a challenge in image watermarking. The watermark should not reduce the visual quality of the image being watermarked and hard to distinguish from its original. Embedding a watermark of a small size might be a good solution. However, the watermark might be easy to lose if there is any tampering with the watermarked image. This research proposes to increase the visual quality of the watermarked image using the Walsh Hadamard transform, which is applied to the singular value decomposition-based image watermarking. Technically, the watermark image is converted into a low bit-rate signal before being embedded in the host image. Using various watermark sizes, experimental results show that the proposed method could produce a good imperceptibility with 47.10 dB on average and also gives robustness close to the original watermark with a normalized correlation close to 1 on average. The proposed method can also recognize the original watermark from the tampered watermarked image at different levels of robustness.

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Section: Introductionmentioning

confidence: 99%

“…The image watermarking schemes can be classified into two main categories, which are spatial domain and transform domain schemes [4,5]. A Least Significant Bit is an example algorithm in the spatial domain that modifies the low-order bits of the hot image for the embedding process [6].…”

Section: Introductionmentioning

confidence: 99%

Visual Quality Improvement of Watermarked Image Based on Singular Value Decomposition Using Walsh Hadamard Transform

Marjuni

Fanani

Nurhayati

2023

Cybernetics and Information Technologies

View full text Add to dashboard Cite

show abstract

“…One of the most commonly used approaches in Image forensics is digital watermarking. In general, watermarking can be considered as the introduction of a signature, within an image before it is distributed [4] and its ownership can then be determined by verifying the signature [8]. A significant drawback of this scheme is that applying one or more image processing operations can easily distort or even destroy the watermark.…”

Section: Introductionmentioning

confidence: 99%

A Review of Hashing based Image Copy Detection Techniques

Srivastava

Siddiqui

Ali

2019

Cybernetics and Information Technologies

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Images are considered to be natural carriers of information, and a large number of images are created, exchanged and are made available online. Apart from creating new images, the availability of number of duplicate copies of images is a critical problem. Hashing based image copy detection techniques are a promising alternative to address this problem. In this approach, a hash is constructed by using a set of unique features extracted from the image for identification. This article provides a comprehensive review of the state-of-the-art image hashing techniques. The reviewed techniques are categorized by the mechanism used and compared across a set of functional & performance parameters. The article finally highlights the current issues faced by such systems and possible future directions to motivate further research work.

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Hiding Patient Injury Information in Medical Images with QR Code

Boonyapalanant

Ketcham

Piyaneeranart

2019

Recent Advances in Information and Communication Technology 2019

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A New Zero-Watermarking Algorithm Resisting Attacks Based on Differences Hashing

Abstract: Medical volume data containing patient information is often faced with various attacks in the transmission

Cited by 4 publications

References 16 publications

Visual Quality Improvement of Watermarked Image Based on Singular Value Decomposition Using Walsh Hadamard Transform

Visual Quality Improvement of Watermarked Image Based on Singular Value Decomposition Using Walsh Hadamard Transform

A Review of Hashing based Image Copy Detection Techniques

Hiding Patient Injury Information in Medical Images with QR Code

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