Reversible data hiding based on flexible block-partition and adaptive block-modification strategy

Weng, Shaowei; Liu, Yijun; Pan, Jeng-Shyang; Cai, Nian

doi:10.1016/j.jvcir.2016.09.016

Cited by 40 publications

(27 citation statements)

References 41 publications

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“…Weng et al proposed a reversible hiding scheme using flexible image block division and adaptive pixel modifications. Both the highest and lowest intensity valued pixels are modified to embed more bits [12].…”

Section: Literature Surveymentioning

confidence: 99%

Pixel Value Ordering Based Reversible Data Hiding with Novel MPBS Strategy

Mahasree,

Puviarasan,

Aruna

2020

IJEAT

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Recently, Reversible Data Hiding (RDH) techniques has gained much attention in many sensitive fields such as remote sensing, archive management, military and medical image processing systems. This is due to the lossless data extraction ability of RDH schemes. The primary goal of RDH schemes is to achieve high embedding rates while maintaining the quality of cover objects. For achieving better performance, Pixel Value Ordering (PVO) based reversible data hiding schemes have been proposed. PVO refers to the process of ranking the pixels in blocks and then modifying the pixels according to some embedding rules/conditions. So far, the existing PVO techniques have considered neighborhood pixels at unit distance. In this paper, an improved RDH using block based PVO scheme is proposed which exploits the pixel correlation efficiently by increasing the block size and applying a novel Median Pixel based Block Selection Strategy (MPBS). When block size is increased, the ordering of pixels is changed after embedding. So, to extract the secret data in a lossless manner, the secret bits are swapped in accordance with their corresponding Stego pixels’ index order. Also, the overflow and underflow conditions are effectively handled using Location Map. Experimental results show the better performance of the proposed RDH technique with the existing technique.

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Section: Literature Surveymentioning

confidence: 99%

Pixel Value Ordering Based Reversible Data Hiding with Novel MPBS Strategy

Mahasree,

Puviarasan,

Aruna

2020

IJEAT

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“…The average EC of GPVOFA method is more than PVO [22], IPVO [23], PVOK [24], PPVO [25], Wang et al [26] and Li et al [27] methods, exposed in Table. 1. Quality of image is suffer if the significant improvement of EC in smooth area of image, that approximately more than 50000 bits is optimum EC Several RDH schemes support the multilevel embedding strategy that continuously embed the secret data to use new cover image again after embedding the data while increase the EC to optimal level in camouflaged image.…”

Section: Performances Comparisonmentioning

confidence: 99%

“…Additionally, for high embedding capacity achievement sliding window is used. Weng et al [26] proposed PVObased adaptive method. This technique was not the same as compared to the earlier methods.…”

Section: Introductionmentioning

confidence: 99%

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Generalized PVO‐based dynamic block reversible data hiding for secure transmission using firefly algorithm

Abbasi

Qureshi

Hassan

et al. 2019

Trans Emerging Tel Tech

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“…This method can provide higher embedding capacity and lower distortion than the PVO-based RDH algorithm proposed in Li et al ] and [Peng, Li and Yang (2014)]. Further, Weng et al [Weng, Liu, Pan et al (2016)] proposed a reversible data hiding method based on flexible block-partition and the adaptive pixel modification strategy. The image is partitioned in accordance with the local complexity metric, and a high-correlation block is further divided into sub-blocks of size 1×3, and each block can be embedded with two data bits.…”

Section: Introductionmentioning

confidence: 99%

Reversible Data Hiding Based on Pixel-Value-Ordering and Pixel Block Merging Strategy

Su¹,

Wang²,

Shen³

2019

Computers, Materials &Amp; Continua

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With the reversible data hiding method based on pixel-value-ordering, data are embedded through the modification of the maximum and minimum values of a block. A significant relationship exists between the embedding performance and the block size. Traditional pixel-value-ordering methods utilize pixel blocks with a fixed size to embed data; the smaller the pixel blocks, greater is the embedding capacity. However, it tends to result in the deterioration of the quality of the marked image. Herein, a novel reversible data hiding method is proposed by incorporating a block merging strategy into Li et al.'s pixel-value-ordering method, which realizes the dynamic control of block size by considering the image texture. First, the cover image is divided into non-overlapping 2×2 pixel blocks. Subsequently, according to their complexity, similarity and thresholds, these blocks are employed for data embedding through the pixel-value-ordering method directly or after being emerged into 2×4, 4×2, or 4×4 sized blocks. Hence, smaller blocks can be used in the smooth region to create a high embedding capacity and larger blocks in the texture region to maintain a high peak signal-to-noise ratio. Experimental results prove that the proposed method is superior to the other three advanced methods. It achieves a high embedding capacity while maintaining low distortion and improves the embedding performance of the pixel-value-ordering algorithm.

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Reversible data hiding based on flexible block-partition and adaptive block-modification strategy

Cited by 40 publications

References 41 publications

Pixel Value Ordering Based Reversible Data Hiding with Novel MPBS Strategy

Pixel Value Ordering Based Reversible Data Hiding with Novel MPBS Strategy

Generalized PVO‐based dynamic block reversible data hiding for secure transmission using firefly algorithm

Reversible Data Hiding Based on Pixel-Value-Ordering and Pixel Block Merging Strategy

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