A reversible high capacity data hiding scheme using pixel value adjusting feature

Kumar, Rajeev; Chand, Satish

doi:10.1007/s11042-014-2289-3

Cited by 29 publications

(6 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Most of the RDH algorithms have been designed based on different approaches. In compression-based schemes [ 22 , 26 ], the cover image is compressed using different compression techniques that maximize utilization of the redundancy in the cover image and would ensure a lossless recovery. Another approach is histogram shifting-based [ 12 , 21 , 49 ], where the intensity bins are shifted based on the peak intensity value to hide the additional data in the empty bin.…”

Section: Introductionmentioning

confidence: 99%

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

Section: Introductionmentioning

confidence: 99%

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

show abstract

“…Because of the aforementioned advantage of RDH method, it has attracted a lot of attention from researchers working in the field of security. Therefore, multiple spatial-domain-based RDH methods have been introduced in the literature, which can be categorized into the following categories: namely (a) lossless compression [4][5][6], (b) difference expansion [7,8], and (c) prediction error expansion [9][10][11][12][13][14][15][16][17][18][19].…”

Section: Introductionmentioning

confidence: 99%

Local-Moment-Driven Robust Reversible Data Hiding

Singh

Khan²,

Shukla

et al. 2022

Applied Sciences

View full text Add to dashboard Cite

In this paper, a local-moment-driven robust reversible data hiding (LM-RRDH) scheme is proposed, which can provide security to hidden messages against unintentional modifications. The proposed LM-RRDH decomposes an image into LSB and MSB planes and then embeds the secret information into the MSB image so that intrusion by unintentional modifications can be avoided. In addition, the proposed scheme utilizes the prevalent correlation among the pixels on the MSB plane for optimal embedding. In the proposed scheme, a cover image is partitioned into sub-blocks at first, and pixel groups in the sub-block are formed according to local moment and moment-of-moment so that similar-intensity pixels can be grouped into the same group. Next, the secret data is embedded into the pixels of each group by selecting a pairwise embedding strategy adaptively which is based on the number of pixels in each group. As a result, the proposed LM-RRDH can limit the distortion while providing a decent embedding capacity. Further, a protection against non-malicious attacks such as Joint Photographic Experts Group (JPEG) compression is also provided. The experimental results show that the proposed scheme provides a superior quality to the previous works while providing a comparable embedding capacity.

show abstract

“…For this, there exist several reversible data hiding (RDH) techniques which have been developed in the past for lossless embedding and recovery of both secret data and subscriber data. Some of the popular RDH techniques are lossless compression based [3][4][5][6], difference expansion-based [7], histogram expansion, and prediction error expansion based [8][9][10][11][12] RDH techniques. However, these techniques are only suitable for plaintext data, but not for encrypted data.…”

Section: Introductionmentioning

confidence: 99%

Intra-Block Correlation Based Reversible Data Hiding in Encrypted Images Using Parametric Binary Tree Labeling

Kumar

et al. 2021

Symmetry

Self Cite

View full text Add to dashboard Cite

In this paper, a high capacity reversible data hiding technique using a parametric binary tree labeling scheme is proposed. The proposed parametric binary tree labeling scheme is used to label a plaintext image’s pixels as two different categories, regular pixels and irregular pixels, through a symmetric or asymmetric process. Regular pixels are only utilized for secret payload embedding whereas irregular pixels are not utilized. The proposed technique efficiently exploits intra-block correlation, based on the prediction mean of the block by symmetry or asymmetry. Further, the proposed method utilizes blocks that are selected for their pixel correlation rather than exploiting all the blocks for secret payload embedding. In addition, the proposed scheme enhances the encryption performance by employing standard encryption techniques, unlike other block based reversible data hiding in encrypted images. Experimental results show that the proposed technique maximizes the embedding rate in comparison to state-of-the-art reversible data hiding in encrypted images, while preserving privacy of the original contents.

show abstract

A reversible high capacity data hiding scheme using pixel value adjusting feature

Cited by 29 publications

References 34 publications

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

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

Local-Moment-Driven Robust Reversible Data Hiding

Intra-Block Correlation Based Reversible Data Hiding in Encrypted Images Using Parametric Binary Tree Labeling

Contact Info

Product

Resources

About