Watermarking Techniques used in Medical Images: a Survey

Mousavi, Seyed Mojtaba; Naghsh, Alireza; Abu-Bakar, S. A. R.

doi:10.1007/s10278-014-9700-5

Cited by 174 publications

(98 citation statements)

References 74 publications

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“…On the other hand, transform domains are proven to be more robust toward different attacks (Mousavi et al 2014), and singular value decomposition (SVD)-based watermarking is one of the most powerful watermarking schemes in this domain. The robust performance of existing SVD-based watermarking methods is not always better than that of frequency-based methods such as Gaussian filtering and noising (Tsai et al 2012) for most of attacks (Chang et al 2005) developed in the spatial domain.…”

Section: Watermarking Schemes Addressing the Current Issuesmentioning

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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Section: Watermarking Schemes Addressing the Current Issuesmentioning

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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“…The integrity and authenticity of digital images cannot be guaranteed. To resolve this issue, many schemes have been proposed including digital signature [1] and digital watermarking [2,3]. The authentication algorithm based on digital signature attaches a signature to the data, which is usually a hash code about the image or its characteristics.…”

Section: Introductionmentioning

confidence: 99%

Fragile Watermarking Based on LBP for Blind Tamper Detection in Images

Zhang¹,

Wang²,

Zhou³

2017

J Inf Process Syst

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Nowadays, with the development of signal processing technique, the protection to the integrity and authenticity of images has become a topic of great concern. A blind image authentication technology with high tamper detection accuracy for different common attacks is urgently needed. In this paper, an improved fragile watermarking method based on local binary pattern (LBP) is presented for blind tamper location in images. In this method, a binary watermark is generated by LBP operator which is often utilized in face identification and texture analysis. In order to guarantee the safety of the proposed algorithm, Arnold transform and logistic map are used to scramble the authentication watermark. Then, the least significant bits (LSBs) of original pixels are substituted by the encrypted watermark. Since the authentication data is constructed from the image itself, no original image is needed in tamper detection. The LBP map of watermarked image is compared to the extracted authentication data to determine whether it is tampered or not. In comparison with other state-of-the-art schemes, various experiments prove that the proposed algorithm achieves better performance in forgery detection and location for baleful attacks.

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“…The transform domain involves discrete Fourier transform (DFT), discrete cosine transform (DCT), and discrete wavelet transform (DWT), etc. Many related watermarking schemes have been proposed [3]. In recent years, the watermarking scheme, which is based on singular value decomposition (SVD), became a hot area during the watermarking procedures.…”

Section: Introductionmentioning

confidence: 99%