Medical image watermarking with tamper detection and recovery using reversible watermarking with LSB modification and run length encoding (RLE) compression

B.W, Tjokorda Agung; Adiwijaya, Adiwijaya; Permana, Febri Puguh

doi:10.1109/comnetsat.2012.6380799

Cited by 35 publications

(17 citation statements)

References 2 publications

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“…The original Least Significant Digits (LSBs) that are removed in watermark embedding process are stored in RONI after compression. The stored LSBs later can be used to restore the image to its original bits value so the watermarking scheme can be reversible [8]. The research was conducted on a single frame of ultrasound which is impractical in the real world; thus a digital watermarking on multiframes medical images is proposed.…”

Section: Theory: Concept Of Digital Watermarkingmentioning

confidence: 99%

Parallel Digital Watermarking Process on Ultrasound Medical Images in Multicores Environment

Khor

Liew

Zain

2016

International Journal of Biomedical Imaging

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With the advancement of technology in communication network, it facilitated digital medical images transmitted to healthcare professionals via internal network or public network (e.g., Internet), but it also exposes the transmitted digital medical images to the security threats, such as images tampering or inserting false data in the images, which may cause an inaccurate diagnosis and treatment. Medical image distortion is not to be tolerated for diagnosis purposes; thus a digital watermarking on medical image is introduced. So far most of the watermarking research has been done on single frame medical image which is impractical in the real environment. In this paper, a digital watermarking on multiframes medical images is proposed. In order to speed up multiframes watermarking processing time, a parallel watermarking processing on medical images processing by utilizing multicores technology is introduced. An experiment result has shown that elapsed time on parallel watermarking processing is much shorter than sequential watermarking processing.

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Section: Theory: Concept Of Digital Watermarkingmentioning

confidence: 99%

Parallel Digital Watermarking Process on Ultrasound Medical Images in Multicores Environment

Khor

Liew

Zain

2016

International Journal of Biomedical Imaging

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“…Based on the medium used for hiding data inside an image, watermarking techniques are classified into two categories, namely, spatial domain and frequency domain. In spatial domain watermarking techniques [ 2 – 5 ], data is embedded directly into host image. In frequency domain techniques [ 6 – 8 ], data is embedded into transformed host image.…”

Section: Introductionmentioning

confidence: 99%

“…Robust watermarking techniques [ 6 – 8 , 12 ] are used in applications where protection of copyright information of images is required, as robust watermarks sustain intentional or unintentional attacks on images. Fragile watermarking techniques [ 2 – 5 , 13 ] are used in applications which require detection of tampers caused by unauthorized persons during transmission of images and also authorization of source of image. Hybrid watermarking techniques [ 14 – 16 ] are used in applications that require both privacy control and integrity control of images.…”

Section: Introductionmentioning

confidence: 99%

“…At the same time any tampering with ROI must be identified and the original ROI must be recovered in order to avoid misdiagnosis and retransmission of medical image. The recovery data of ROI is generally embedded into RONI [ 3 – 5 , 8 , 16 – 18 ]. When any tamper is detected inside ROI of received watermarked medical image the tampered area of ROI is replaced with the recovery data embedded inside RONI.…”

Section: Introductionmentioning

confidence: 99%

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Medical Image Watermarking Technique for Accurate Tamper Detection in ROI and Exact Recovery of ROI

Eswaraiah

Reddy

2014

International Journal of Telemedicine and Applications

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In telemedicine while transferring medical images tampers may be introduced. Before making any diagnostic decisions, the integrity of region of interest (ROI) of the received medical image must be verified to avoid misdiagnosis. In this paper, we propose a novel fragile block based medical image watermarking technique to avoid embedding distortion inside ROI, verify integrity of ROI, detect accurately the tampered blocks inside ROI, and recover the original ROI with zero loss. In this proposed method, the medical image is segmented into three sets of pixels: ROI pixels, region of noninterest (RONI) pixels, and border pixels. Then, authentication data and information of ROI are embedded in border pixels. Recovery data of ROI is embedded into RONI. Results of experiments conducted on a number of medical images reveal that the proposed method produces high quality watermarked medical images, identifies the presence of tampers inside ROI with 100% accuracy, and recovers the original ROI without any loss.

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“…Information is straightforwardly inserted into original image in spatial domain watermarking techniques [5][6][7][8]. In frequency domain techniques [9][10][11], information is inserted into transformed original image.…”

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confidence: 99%

A Hybrid Secure watermarking technique in Telemedicine

Swaraja¹

2017

IJET

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Abstract-For healthcare applications, a hybrid multiple watermarking has been projected in this paper. For authentication and identity purpose, the projected scheme makes use of two watermarks, one in the form of text watermark which includes diagnostic information of the patient and the other image watermark includes the hospital logo. In order to improve the robustness performance of the scheme DWT, DCT and SVD is applied while inserting the multiple watermarks to reduce the noise effects on the watermarked image. The security of the text and image watermark is enhanced by using Arithmetic coding and Arnold transform respectively before inserting into the original medical image. Various experiments have been carried out on different medical imaging modalities to estimate the performance of the projected scheme in terms of imperceptibility, robustness and security even after different types of attacks. Keyword -Discrete wavelet transforms, Discrete cosine transform, Singular value decomposition, Authentication, Telemedicine.I. INTRODUCTION Telemedicine eradicates distance barrier and affords entrée to medical services obtainable at far-away places. It permits transmission of medical data from one position to another and facilitates handy and accurate interfaces among patients and medical staff. Circulation of medical images enforces significant prerequisite that the medical images were not adapted by illegal users. This precondition is called preserving integrity of medical images. On the contrary, transmission of medical image and patient data autonomously through commercial networks guides to more cost and transmission time [1]. Watermarking is employed to deal with the above two concerns. Digital watermarking is the current, admired and competent scheme for the safety of multimedia data. In this scheme watermark is embedded into the digital data to protect it from unauthorized use. Digital watermarking has diverse applications such as copyright protection, copy protection, tamper detection, broadcast monitoring, content archiving, fingerprinting, healthcare, cyber watermarking, digital cinema and content authentication. Medical image watermarking has various benefits such as accumulation of storage space and bandwidth necessities, privacy of patient data [2,3]. Additionally, medical image watermarking also assists in reducing medical identity thefts which are the serious safety issues reported in a variety of investigations [2,3,4]. The major anxiety of digital image watermarking schemes is that the watermark should not influence the visual quality of the original medical image and it should be robust towards dissimilar signal processing attacks.Based on the domain used for hiding data within an image, watermarking techniques are organized into two categories, namely, spatial domain and frequency domain. Information is straightforwardly inserted into original image in spatial domain watermarking techniques [5][6][7][8]. In frequency domain techniques [9][10][11], information is inserted into transformed orig...

show abstract

Medical image watermarking with tamper detection and recovery using reversible watermarking with LSB modification and run length encoding (RLE) compression

Cited by 35 publications

References 2 publications

Parallel Digital Watermarking Process on Ultrasound Medical Images in Multicores Environment

Parallel Digital Watermarking Process on Ultrasound Medical Images in Multicores Environment

Medical Image Watermarking Technique for Accurate Tamper Detection in ROI and Exact Recovery of ROI

A Hybrid Secure watermarking technique in Telemedicine

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