A ROI-based reversible data hiding scheme in encrypted medical images

Liu, Yuling; Qu, Xinxin; Xin, Guojiang

doi:10.1016/j.jvcir.2016.05.008

Cited by 66 publications

(33 citation statements)

References 18 publications

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“…Contrast enhancement is done on the region of interest by stretching the grayscale and after that data is embedded in the peak bins of the stretched histogram instead of extending the histogram bins. Liu et al [17] presented an algorithm in which cover image is partitioned into region of interest and non-region of interest and then image is encrypted using an encryption key. LSB substitution algorithm is used to embed the data.…”

Section: A Spatial Domainmentioning

confidence: 99%

“…Liu at el [30] proposed method is a combination of prediction error expansion with sorting technique that embeds EPR in to the ROI and by using the histogram shifting method recovery data is used to embed in the NROI. Mantos and Maglogiannis [31] proposed method divides the region of interest and non-region of interest into two different parts. Data relayed to patient diagnose is embedded into the region of interest and on the other hand location map needed for the recovery of data is kept into nonregion of interest.…”

Section: A Spatial Domainmentioning

confidence: 99%

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A Survey on Medical Images for Reversible Data Hiding Techniques

Bhagat

Bhardwaj

2019

2019 Amity International Conference on Artificial Intelligence (AICAI)

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In the recent trends, technology has advanced so much that most of the individuals are using internet for communication purpose. It became very easy, accurate and fast to send data with the help of internet from one end to another across the world. The major issue while sending data over the internet is the security of the data whether it is personal or confidential. Many of the techniques are there for protecting the data, but data hiding is the most protective technique in data security. Basically, Data hiding is a technique in which secret data is embedded into the cover image and at the receiver side, the host will extract the secret data. Another technique is reversible data hiding (RDH) in which the host can extract the secret data as well as the original image without any loss of data. In this paper, we represent an overview of the recent research in the field of the reversible data hiding techniques, related methods and procedures.

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Section: A Spatial Domainmentioning

confidence: 99%

Section: A Spatial Domainmentioning

confidence: 99%

A Survey on Medical Images for Reversible Data Hiding Techniques

Bhagat

Bhardwaj

2019

2019 Amity International Conference on Artificial Intelligence (AICAI)

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“…In addition, this algorithm was of low complexity while computing and do not necessitate interaction of more information. Liu et al [25] proposed a novel ROI-dependent RDH method in medical images that are encoded. Initially, a owner of content separated a real image into the ROI and the RONI, after that, it encodes the image by means of a key for encryption.…”

Section: A State-of-the-art Of Contributionsmentioning

confidence: 99%

Route Map of Privacy Preservation to IOT

Kathavate¹,

Amudhavel²

2018

IJET

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Data anonymization is the main feature of privacy preservation, and it assists in eradicating the privacy hazard in data preparation in various applications including IoT. Pseudonymity and Anonymization are two significant security factors that were adopted when sensitive data are shared. In medical field, data is usually distributed horizontally with diverse regions carrying a similar set of characteristics for various anonymization techniques.

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“…Further, with a purpose to keep away from hackers or attackers duplicated or revised medical [18] portioned the image into smooth region and non-smooth region and applied Diamond encoding method for data embedding to achieve high data capacity. Besides that the advantage shrinks that is the quality of the stego image reduced when the data size is increased.…”

Section: Related Workmentioning

confidence: 99%

Applying Reversible Data Hiding for Medical Images in Hybrid Domain Using Haar and Modified Histogram

Vanmathi¹,

Prabu²

2017

IJIES

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Abstract:In this paper a reversible data hiding (RDH) algorithm for medical images is proposed. This algorithm specifically based on histogram modification in hybrid domain. The idea of this algorithm is that a histogram is created from the differences between each pixel and its neighbours. A 2D DWT haar transform is performed to convert cover image into a transform domain to select appropriate frequencies for embedding the payload. The selected DWT coefficients bit planes are used to carry the secret message. The experimental result demonstrates that our proposed method outperforms the traditional state of art methods in terms Peak Signal to Noise Ratio (PSNR), Structural Similarity Index (SSI) and the algorithm guarantees the reversibility of the host image. The proposed method avoids overflow and underflow of the pixel values and achieves highest embedding capacity.

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A ROI-based reversible data hiding scheme in encrypted medical images

Cited by 66 publications

References 18 publications

A Survey on Medical Images for Reversible Data Hiding Techniques

A Survey on Medical Images for Reversible Data Hiding Techniques

Route Map of Privacy Preservation to IOT

Applying Reversible Data Hiding for Medical Images in Hybrid Domain Using Haar and Modified Histogram

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