A survey of RST invariant image watermarking algorithms

Zheng, Dong; Liu, Yan; Zhao, Jiying; Saddik, Abdulmotaleb El

doi:10.1145/1242471.1242473

Cited by 146 publications

(31 citation statements)

References 40 publications

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“…In addition, its capability to decompose an image into bands that differ in both spatial frequency and orientation (vertical, horizontal and diagonal) has made it of huge significance when modeling the anisotropic properties of a Human Visual System (HVS). This mimics the human visual perception and allows the self-governing processing of the resulting mechanism [10]. The high frequency subbands of the wavelet transform include the edges and textures of the image and the human eye is not generally very sensitive identity them to changes in such bands.…”

Section: Discrete Wavelet Transformationmentioning

confidence: 97%

Integrated Normalized Content System for Efficient Watermarking

G.RoslineNesakumari¹,

Rajendran²,

Vijayakumar³

2012

IJCA

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In contemporary years, different watermarking schemes are proposed for image authentication and copyright protection. In images, any tiny change to the content is not acceptable; the embedding distortion has to be compensated for perfectly. In this paper a powerful Image watermarking method using DWT based on integrated normalized content based chaotic (DWT-INCC) system is proposed, to obtain better digital content authentication, originality, higher embedding capacity, quality of the information and better robustness. The objective of the proposed integrated scheme is to examine how content image normalization and discrete wavelet domain based chaotic system procedure are used to enhance robustness of a digital image watermark especially for statistical attacks. The proposed integrated scheme consists of four stages. In the stage two image normalization is performed, to achieve the scaling and rotational invariance. In stage two DWT is applied on the normalized image. In stage three a block based content authentication scheme is adopted on the normalized image of stage one for image authentication and tamper localization. In stage four chaotic models is adopted on the stage three to achieve excellent robustness against any statistical attacks and to increase the security of the digital watermarking system. The experimental result shows that the proposed DWT-INCC method is more robust and effective even in the presence of various attacks when compared with many existing methods.

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Section: Discrete Wavelet Transformationmentioning

confidence: 97%

Integrated Normalized Content System for Efficient Watermarking

G.RoslineNesakumari¹,

Rajendran²,

Vijayakumar³

2012

IJCA

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“…Chaotic encryption of a watermark image is performed using Arnold transform (Zheng et al 2007) which is also called Cat Face transfer and is given by…”

Section: Chaotic Encryptionmentioning

confidence: 99%

Ownership protection of outsourced biomedical time series data based on optimal watermarking scheme in data mining

Pham

Tran

2017

AJIS

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In the biomedical and healthcare fields, the ownership protection of the outsourced data is becoming a challenging issue in sharing the data between data owners and data mining experts to extract hidden knowledge and patterns. Watermarking has been proved as a rightprotection mechanism that provides detectable evidence for the legal ownership of a shared dataset, without compromising its usability under a wide range of data mining for digital data in different formats such as audio, video, image, relational database, text and software. Time series biomedical data such as Electroencephalography (EEG) or Electrocardiography (ECG) is valuable and costly in healthcare, which need to have owner protection when sharing or transmission in data mining application. However, this issue related to kind of data has only been investigated in little previous research as its characteristics and requirements. This paper proposes an optimized watermarking scheme to protect ownership for biomedical and healthcare systems in data mining. To achieve the highest possible robustness without losing watermark transparency, Particle Swarm Optimization (PSO) technique is used to optimize quantization steps to find a suitable one. Experimental results on EEG data show that the proposed scheme provides good imperceptibility and more robust against various signal processing techniques and common attacks such as noise addition, low-pass filtering, and resampling.

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“…While there is a broad range of watermarking systems that apply information with vastly different methods in numerous embedding domains [28], the following observations are based on principles of communication channels that are used for all watermarking schemes in general. There are significant benefits of video registration that apply to different watermarking aspects:…”

Section: Benefits Of Video Registrationmentioning

confidence: 99%

“…If a scheme is classified as fragile, the desired behavior of the watermark is to immediately degrade when a modification is performed, which guarantees the identification of alterations to the content. If it is classified as robust, it should survive distortions (e.g., rotation, scaling and translation in case of images [28]) and remain extractable even after severe degradations. The desired application scenario decides on the required scheme.…”

Section: Introduction To Digital Watermarkingmentioning

confidence: 99%

Semi-automatic registration of videos for improved watermark detection

Schaber

Kopf

Effelsberg

et al. 2010

Proceedings of the First Annual ACM SIGMM Conference on Multimedia Systems

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Virtually every video watermarking technology can benefit from comparison with the original content. For non-blind schemes it is fundamental; for others it is an improvement to increase the watermark's signal-to-noise ratio by subtracting the content that is often noise to the detector. A direct frame-by-frame comparison of the videos is not possible due to the fact that illegal copies of videos usually differ significantly from their originals caused by different spatial resolution or frame rates, geometric distortions from capturing, or targeted attacks. In this paper, we present a software tool that enables the semi-automatic temporal and spatial synchronization of frames and pixels of two similar videos. This process is called registration. We put our focus on utilizing human capabilities with the smallest possible effort, to allow a high overall performance and precision of the registration. An efficient graphical user interface supports the users and visualizes the results of all steps. In addition, we specifically distinguish digitally reproduced copies from analog (camcorded) copies in which two or more frames are blended into a new frame.

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A survey of RST invariant image watermarking algorithms

Cited by 146 publications

References 40 publications

Integrated Normalized Content System for Efficient Watermarking

Integrated Normalized Content System for Efficient Watermarking

Ownership protection of outsourced biomedical time series data based on optimal watermarking scheme in data mining

Semi-automatic registration of videos for improved watermark detection

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