Nested Quantization Index Modulation for Reversible Watermarking and Its Application to Healthcare Information Management Systems

Ko, Lu Ting; Chen, Jwu E.; Shieh, Yaw Shih; Hsin, Hsi-Chin; Sung, Tze Yun

doi:10.1155/2012/839161

Cited by 28 publications

(7 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For instance, hospital information system addresses security problems and provides confidentiality, integrity and authentication via watermarking. Watermarking applications for medical purposes have been extensively investigated with reference to their security (Arsalan et al 2012;Fakhari et al 2011;Ko et al 2011).…”

Section: Current Issues In Sharing and Storing Biomedical Datamentioning

confidence: 99%

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

Pham

Tran

2017

AJIS

View full text Add to dashboard Cite

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.

show abstract

Section: Current Issues In Sharing and Storing Biomedical Datamentioning

confidence: 99%

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

Pham

Tran

2017

AJIS

View full text Add to dashboard Cite

show abstract

“…Ko et al [6] present a substitutive insertion method based on quantization index modulation (QIM). Classic QIM restricts reversibility, so they modified it making use of the nested QIMbased watermarking technique.…”

Section: State Of the Artmentioning

confidence: 99%

Reversible blind data hiding for verifying integrity and authenticating MRI and X-Ray images

Fylakis

Keskinarkaus

Kiviniemi

et al. 2015

2015 9th International Symposium on Medical Information and Communication Technology (ISMICT)

View full text Add to dashboard Cite

We present a reversible data hiding technique for digital medical images. The idea is to embed the header of the image or other data in the image itself, pursuing tamper-proofing capabilities and inseparability. In particular, the proposed data hiding technique using Least Significant Bits (LSBs) hides information into the Region of Interest (ROI) and preserves lost information in the Region of Non Interest (RONI) for reversibility purposes. ROI pixels are accessed consecutively or in accordance to a Just Noticeable Distortion (JND) model, while RONI pixels are accessed in a consecutive or pseudo-random order. In the experiments with MRI and X-Ray images, we prove excellent fidelity and 100% reversibility of the ROI.

show abstract

“…Therefore, fully reversible watermarking techniques, which can completely recover both the original unmodified image and the embedded watermark, are developed. Reversible watermarking approaches can be categorized into four groups: compression based [7,10], histogram modification based [16,21,33], quantization based [22,23] and Difference Expansion (DE) based [20,28]. Reversible watermarking based on the DE technique are recommended by many recent studies, and typically exceed alternate reversible methods in terms of higher payload capacity and lower complexity [20,28,41].…”

Section: Introductionmentioning

confidence: 99%

ROI-based reversible watermarking scheme for ensuring the integrity and authenticity of DICOM MR images

Qasim

Aspin

Meziane

et al. 2018

Multimed Tools Appl

View full text Add to dashboard Cite

Reversible and imperceptible watermarking is recognized as a robust approach to confirm the integrity and authenticity of medical images and to verify that alterations can be detected and tracked back. In this paper, a novel blind reversible watermarking approach is presented to detect intentional and unintentional changes within brain Magnetic Resonance (MR) images. The scheme segments images into two parts; the Region of Interest (ROI) and the Region of Non Interest (RONI). Watermark data is encoded into the ROI using reversible watermarking based on the Difference Expansion (DE) technique. Experimental results show that the proposed method, whilst fully reversible, can also realize a watermarked image with low degradation for reasonable and controllable embedding capacity. This is fulfilled by concealing the data into 'smooth' regions inside the ROI and through the elimination of the large location map required for extracting the watermark and retrieving the original image. Our scheme delivers highly imperceptible watermarked images, at 92.18-99.94 dB Peak Signal to Noise Ratio (PSNR) evaluated through implementing a clinical trial based on relative Visual Grading Analysis (relative VGA). This trial defines the level of modification that can be applied to medical images without perceptual distortion. This compares favorably to outcomes reported under current state-of-art techniques. Integrity and authenticity of medical images are also ensured through detecting subsequent changes enacted on the watermarked images. This enhanced security measure, therefore, enables the detection of image manipulations, by an imperceptible approach, that may establish increased trust in the digital medical workflow.

show abstract

Nested Quantization Index Modulation for Reversible Watermarking and Its Application to Healthcare Information Management Systems

Cited by 28 publications

References 25 publications

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

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

Reversible blind data hiding for verifying integrity and authenticating MRI and X-Ray images

ROI-based reversible watermarking scheme for ensuring the integrity and authenticity of DICOM MR images

Contact Info

Product

Resources

About