Improved PPVO-based high-fidelity reversible data hiding

Wu, Hui; Li, Xiaolong; Zhao, Yao; Ni, Rongrong

doi:10.1016/j.sigpro.2019.107264

Cited by 44 publications

(32 citation statements)

References 34 publications

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“…Figure 8 shows the performance comparison of our scheme and the other four schemes, Li et al [9], Ou et al [15], Peng et al [16], and Wu et al [29]. For the proposed scheme, the embedding capacity increases from 5000 bits to the largest capacity of [9,15,16,29] with a step of 1000 bits. It can be observed that the proposed scheme has a higher PSNR for every image under different payloads than the other four methods.…”

Section: Comparison With Pvo Schemesmentioning

confidence: 98%

“…We compare the proposed method with several PVO-based methods, Li et al [9] (PVO), Ou et al [15] (PVO-K), Peng et al [16] (IPVO), and Wu et al [29] (IPPVO) in this subsection. It should be noted that since our method generates two stego images, in the analysis and comparison of experimental results in this subsection, for the proposed method effective EC is the average EC of the two stego images (half of the total EC), and PSNR is also the average PSNR.…”

Section: Comparison With Pvo Schemesmentioning

confidence: 99%

“…Table 4 lists the performance when the payload is 10000 bits of Li et al [9], Ou et al [15], Peng et al [16], Wu et al [29] and the proposed method. The average PSNR are 58.30 dB, 59.17 dB, 58.88 dB, 59.76 dB, 64.80 dB for [9,15,16,29], and our scheme, respectively, and the increase of PSNR is 6.5 dB, 5.63 dB, 5.92 dB, 5.04 dB compared with the other four methods.…”

Section: Comparison With Pvo Schemesmentioning

confidence: 99%

“…In previous PVO-based methods, there were lots of pixels on the histogram just shifted but not selected for embedding data, so the EC of the PVO-based RHD scheme was low. In the latest improved PPVO-based [29] method, the prediction accuracy was enhanced by taking full advantage of the pixels around the predicted pixel. The maximum embedding capacity was 60,000 bits for smooth image Airplane, only 11,000 bits for the texture image Baboon.…”

Section: Introductionmentioning

confidence: 99%

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A novel pixel value ordering reversible data hiding based on dual-image

Niu

Shen

2022

Multimed Tools Appl

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Recently, reversible data hiding (RDH) based on pixel value order (PVO) has been an important research direction in the field of information security due to its high-fidelity characteristics. However, PVO-based schemes have low embedding capacities (EC) because the pixels whose prediction-error greater than 1 or less than -1 on the histogram just shifted but not selected for embedding data. Dual-image techniques have often been used in recent years. In this paper, we use dual-image to design a new shift strategy that allows secret data to be embedded in those pixels only shifted in PVO-based schemes previously to improve the EC. The number of secret message bits for each embedding is fixed in most dual-image RDH methods, which leads to image redundancy not be fully exploited. In the proposed method, the number of embedded bits changes dynamically according to the predictionerror so that the visual quality of the stego images is better. Experimental results verify that the proposed method is superior to some other state-of-the-art PVO-based and dual-image RDH methods.

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Section: Comparison With Pvo Schemesmentioning

confidence: 98%

Section: Comparison With Pvo Schemesmentioning

confidence: 99%

Section: Comparison With Pvo Schemesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A novel pixel value ordering reversible data hiding based on dual-image

Niu

Shen

2022

Multimed Tools Appl

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“…Although the embedding capacity is low, the image quality is high, making RDH methods more suitable for use in military, medical, and other important fields that require a high precision in image quality. Recently, several researchers have also proposed many related RDH techniques [11][12][13][14][15][16]. In general, RDH techniques are fragile due to their characteristics of integrity and reliability authentication, which are evaluated by its embedding capacity-distortion Symmetry 2020, 12, 1164 2 of 20 performance [17].…”

Section: Introductionmentioning

confidence: 99%

PVO-Based Reversible Data Hiding Exploiting Two-Layer Embedding for Enhancing Image Fidelity

Lee

Shen

et al. 2020

Symmetry

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Recently, Li et al. proposed a data hiding method based on pixel value ordering (PVO) and prediction error expansion (PEE). In their method, maximum and minimum values were predicted and the pixel values were modified to embed secret data. Thereafter, many scholars have proposed improvisations to the original PVO method. In this paper, a Reversible data hiding (RDH) method is proposed where the secret data is dispersed into two layers using different modes of operations. The second layer changes the dividing mode, and the first and the second layers do not take duplicate blocks. Under a fixed embedding capacity, threshold value and block size are controlled, complex blocks are filtered and the secret data is hidden in smooth blocks. This paper also compares the effectiveness of four well-known PVO series methods, the latest PVO methods, difference expansion (DE) method and reduced difference expansion (RDE) method. Experimental results show that the proposed method reduces distortion in the image, thereby enhancing the visual symmetry/quality compared to previous state-of-the-art methods and increasing its high application value.

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