A High-Embedding Efficiency RDH in Encrypted Image Combining MSB Prediction and Matrix Encoding for Non-Volatile Memory-Based Cloud Service

Xie, Xiaozhu; Chang, Chin‐Chen; Chen, Kaimeng

doi:10.1109/access.2020.2980302

Cited by 10 publications

(8 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is a new field of integrated multidisciplinary theory and technology. The main methods include hiding data in the spatial domain [6]- [8], frequency domain [9]- [13], and encryption domain [14]- [16].…”

Section: Introductionmentioning

confidence: 99%

A Reversible Secret Image Sharing Scheme Based on Stick Insect Matrix

et al. 2020

Self Cite

View full text Add to dashboard Cite

This paper first proposes a generation algorithm of a stick insect matrix. Then, a novel reversible secret image sharing scheme based on the stick insect matrix is presented. With the help of our matrix, secret data can be embedded in a cover image to generate two meaningful shadows. It is worth mentioning that the stick insect structure of the proposed matrix can be extended according to the embedding rate of the secret data, meanwhile the generating rules of the stick insect matrix can guarantee optimal visual quality of the generated shadows. Moreover, our scheme also provides an authentication mechanism. The embedded secret data can be retrieved and the cover image can be recovered exactly after successful authentication of two shadows. Experimental results show that our proposed scheme provides excellent visual quality and good authentication ability.

show abstract

Section: Introductionmentioning

confidence: 99%

A Reversible Secret Image Sharing Scheme Based on Stick Insect Matrix

et al. 2020

Self Cite

View full text Add to dashboard Cite

show abstract

“…The visual traits of the cover image after direct decryption is good in [ 43 ] and [ 36 ]. This is not the case with others, unlike [ 44 ], the proposed scheme generates an error map that is self-embedded after encryption to support recovery.…”

Section: Comparison With Other Rdh Schemesmentioning

confidence: 83%

“…Similarly, the proposed scheme and others are completely reversible without any recovery loss. There are schemes that do not reserve room prior to the embedding of the additional information like [ 33 , 35 , 37 , 43 , 44 ], while others, unlike the proposed scheme reserves room. The visual traits of the cover image after direct decryption is good in [ 43 ] and [ 36 ].…”

Section: Comparison With Other Rdh Schemesmentioning

confidence: 99%

See 1 more Smart Citation

A prediction error based reversible data hiding scheme in encrypted image using block marking and cover image pre-processing

Panchikkil

Manikandan

2023

Multimed Tools Appl

View full text Add to dashboard Cite

A drastic change in communication is happening with digitization. Technological advancements will escalate its pace further. The human health care systems have improved with technology, remodeling the traditional way of treatments. There has been a peak increase in the rate of telehealth and e-health care services during the coronavirus disease 2019 (COVID-19) pandemic. These implications make reversible data hiding (RDH) a hot topic in research, especially for medical image transmission. Recovering the transmitted medical image (MI) at the receiver side is challenging, as an incorrect MI can lead to the wrong diagnosis. Hence, in this paper, we propose a MSB prediction error-based RDH scheme in an encrypted image with high embedding capacity, which recovers the original image with a peak signal-to-noise ratio (PSNR) of dB and structural similarity index (SSIM) value of 1. We scan the MI from the first pixel on the top left corner using the snake scan approach in dual modes: i) performing a rightward direction scan and ii) performing a downward direction scan to identify the best optimal embedding rate for an image. Banking upon the prediction error strategy, multiple MSBs are utilized for embedding the encrypted PHR data. The experimental studies on test images project a high embedding rate with more than 3 bpp for 16-bit high-quality DICOM images and more than 1 bpp for most natural images. The outcomes are much more promising compared to other similar state-of-the-art RDH methods.

show abstract

“…In reversible information hiding, the recipient can restore the original carrier losslessly after extracting the secret data embedded by the sender, while after irreversible information hiding, one cannot restore the original carrier. Based on these two categories of information hiding methods, it can be subdivided into the following four types: information hiding based on spatial domain [6] [7] [8] [9] [10] [11] [12], information hiding based on frequency domain [13] [14] [15], information hiding based on encryption domain [16] [17] [18] [19], and information hiding based on compressed domain [20] [21].…”

Section: Introductionmentioning

confidence: 99%

An Authenticatable (2, 3) Secret Sharing Scheme Using Meaningful Share Images Based on Hybrid Fractal Matrix

2021

Self Cite

View full text Add to dashboard Cite

Secret image sharing (SIS) scheme is an important technology to protect secret information. It distributes the secret data into multiple shares so that the participants can obtain the embedded secret by sharing their authenticated shares. Through a simple process of these shares, the secret data can be extracted. In this paper, we propose a (2, 3) SIS scheme based on a fractal matrix. Through guidance of the proposed fractal matrix, the secret data can be distributed into three shares which are indistinguishable from their corresponding cover images. Any two of the three distinct shares can cooperate to extract the exact secret data. Moreover, we devise two authentication mechanisms to prevent from tampering. Experimental results show that our proposed scheme can provide efficient payloads with shares of good visual quality. The authentications are also effective and easy to implement.

show abstract

A High-Embedding Efficiency RDH in Encrypted Image Combining MSB Prediction and Matrix Encoding for Non-Volatile Memory-Based Cloud Service

Cited by 10 publications

References 21 publications

A Reversible Secret Image Sharing Scheme Based on Stick Insect Matrix

A Reversible Secret Image Sharing Scheme Based on Stick Insect Matrix

A prediction error based reversible data hiding scheme in encrypted image using block marking and cover image pre-processing

An Authenticatable (2, 3) Secret Sharing Scheme Using Meaningful Share Images Based on Hybrid Fractal Matrix

Contact Info

Product

Resources

About