I-PVO based high capacity reversible data hiding using bin reservation strategy

Kumar, Rajeev; Kumar, Neeraj; Jung, Ki-Hyun

doi:10.1007/s11042-020-09069-0

Cited by 18 publications

(20 citation statements)

References 21 publications

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“…Pairwise PEE [8], Sachnev et al. [7], Pairwise PEE with optimal expansion path [27], RDH‐bin reservation [41] and enhanced pairwise IPVO [25] provide high ECs, however [7, 8, 25] are vulnerable to lower image quality. On the other hand, methods such as [14, 22, 37, 42] using purely PVO predictors are more likely to stand out in terms of image quality, but they struggle to attain higher ECs.…”

Section: Resultsmentioning

confidence: 99%

“…Embedding capacity (EC) versus peak‐signal‐to‐noise ratio (PSNR) of proposed method and existing methods [7, 8, 14, 22, 25, 27, 37, 41, 42]…”

Section: Resultsmentioning

confidence: 99%

“…The experiments are implemented in MATLAB and the secret data is generated using pseudo-random number generators. The results of the proposed method are analysed and compared with some existing state-of-the-art methods including [7,8,14,22,25,27,37,41,42].…”

Section: Elsementioning

confidence: 99%

“…To increase the EC, Kumar et al. proposed two new reversible data hiding schemes using PVO based methods [41, 42]. In [41], Kumar et al.…”

Section: Related Workmentioning

confidence: 99%

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High‐quality reversible data hiding scheme using sorting and enhanced pairwise PEE

Kaur

Singh

Rani

et al. 2021

IET Image Processing

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This paper proposes a novel reversible data hiding (RDH) technique using sorting and pairwise prediction error expansion (PEE) to improve embedding capacity (EC) while retaining the quality of cover image. The proposed scheme traverses alternate pixels of the cover image in a zig‐zag order to construct two independent sets for sequential embedding. The pixels of each set are sorted in an increasing order of their rhombus mean followed by a two‐pass data embedding by dividing the sets into 1 × 3 size blocks based on some pre‐defined criteria. In pass 1, two prediction errors are calculated for the first and the last pixels using their rhombus means; and pairwise mapping is modified and exploited to embed the secret data in such a way that the value of the first pixel is either increased or remains unchanged, and the value of the last pixel is either decreased or remains unchanged. In pass‐2, the middle pixel is utilised to predict the first and last pixels and the values of the first pixel and the last pixel are either decreased or remains unchanged and either increased or remains unchanged, respectively. In contrast to some existing recovery‐based methods, the proposed pass‐2 guarantees to complement the changes made in pass‐1, thereby boosting the quality along with increased EC. The experimental results show that the proposed method achieves better embedding performance than the state‐of‐the‐art RDH techniques. More specifically, the proposed method gets an increment by an average of 0.46 dB and 1.01 dB for embedding 10,000 bits and 20,000 bits respectively over its closest prior art.

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Section: Resultsmentioning

confidence: 99%

“…Embedding capacity (EC) versus peak‐signal‐to‐noise ratio (PSNR) of proposed method and existing methods [7, 8, 14, 22, 25, 27, 37, 41, 42]…”

Section: Resultsmentioning

confidence: 99%

Section: Elsementioning

confidence: 99%

“…To increase the EC, Kumar et al. proposed two new reversible data hiding schemes using PVO based methods [41, 42]. In [41], Kumar et al.…”

Section: Related Workmentioning

confidence: 99%

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High‐quality reversible data hiding scheme using sorting and enhanced pairwise PEE

Kaur

Singh

Rani

et al. 2021

IET Image Processing

Self Cite

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show abstract

“…The IPVO method makes full use of image redundancy to hide information at the prediction errors of 0 or 1/−1 to achieve excellent embedding performance. In 2020, Kumar and Jung successively proposed a pairwise IPVO method [23] to hide data in a smoother block and used the bin reservation strategy [24] to further combine PEE technology to increase the capacity embedded in the carrier. However, the method has lower image quality under low hidden payload.…”

Section: Introductionmentioning

confidence: 99%

High-Capacity and High-Quality Reversible Data Hiding Method Using Recurrent Round-Trip Embedding Strategy in the Quotient Image

Lee

2021

Applied Sciences

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In previous research, scholars always think about how to improve the information hiding algorithm and strive to have the largest embedding capacity and better image quality, restoring the original image. This research mainly proposes a new robust and reversible information hiding method, recurrent robust reversible data hiding (triple-RDH), with a recurrent round-trip embedding strategy. We embed the secret message in a quotient image to increase the image robustness. The pixel value is split into two parts, HiSB and LoSB. A recurrent round-trip embedding strategy (referred to as double R-TES) is designed to adjust the predictor and the recursive parameter values, so the pixel value carrying the secret data bits can be first shifted to the right and then shifted to the left, resulting in pixel invariance, so the embedding capacity can be effectively increased repeatedly. Experimental results show that the proposed triple-RDH method can effectively increase the embedding capacity up to 310,732 bits and maintain a certain level of image quality. Compared with the existing pixel error expansion (PEE) methods, the triple-RDH method not only has a high capacity but also has robustness for image processing against unintentional attacks. It can also be used for capacity and image quality according to the needs of the application, performing adjustable embedding.

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Bin Reservation Based on IVPO Reversible Data Hiding Using Smoothness Mode Selection Strategy

Lee

Shen

Lin

2022

Advances in Intelligent Information Hiding and Multimedia Signal Processing

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I-PVO based high capacity reversible data hiding using bin reservation strategy

Cited by 18 publications

References 21 publications

High‐quality reversible data hiding scheme using sorting and enhanced pairwise PEE

High‐quality reversible data hiding scheme using sorting and enhanced pairwise PEE

High-Capacity and High-Quality Reversible Data Hiding Method Using Recurrent Round-Trip Embedding Strategy in the Quotient Image

Bin Reservation Based on IVPO Reversible Data Hiding Using Smoothness Mode Selection Strategy

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