Exploring pixel-value differencing and base decomposition for low distortion data embedding

Wu, Nan-I; Wu, Kuo-Chen; Wang, Chung-Ming

doi:10.1016/j.asoc.2011.09.002

Cited by 31 publications

(10 citation statements)

References 26 publications

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“…Wu et al presented a low distortion data embedding method which explores pixel-value difference and base decomposition [38]. First of all, they define a range table containing five degrees as follows…”

Section: Wu Et Al's Methodsmentioning

confidence: 99%

“…[38], and (c) Hong and Chen's [13] methods as the base embedding method against the soft-margin SVM based on the Abolghasemi et al's feature set [1]. The vertical axis is accuracy (in percentage) and the horizontal axis is payload (bpp) Figure 8 shows the result of evaluating our steganographic framework with the parameters c h =256, c v =8, l=60, u=67 against the soft-margin SVM based on the Abolghasemi et al's feature set [1].…”

Section: Resistance To Blind Steganalysismentioning

confidence: 97%

“…This method first uses sharper edge regions for data hiding adaptively. Wu et al presented a low distortion method which explores pixel value difference (PVD) and base decomposition [38]. Given a pixel pair, the difference between the pixels is first computed and the related degree is determined.…”

mentioning

confidence: 99%

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An efficient steganographic framework based on dynamic blocking and genetic algorithm

Iranpour

Rahmati

2014

Multimed Tools Appl

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An important property of any robust steganographic method is that it must introduce minimal distortion in the created stego-images. This objective is achieved if one can maximize the similarity between the pixels value of the cover image and the secret data. In the proposed framework, the maximal similarity is obtained by arranging some routes along the pixel positions. Our novel method is based on dynamic blocking and the genetic algorithm which decreases the distortion produced by a base data embedding method. In the proposed parametric framework, the cover image is first divided into several horizontal static-size strips. Then each strip is partitioned into some dynamic-size blocks. The size of each block is determined using the genetic algorithm such that minimal distortion is produced. Traversing the blocks of a strip in a raster scan manner, the route for embedding the data into the strip is obtained. The best route is considered to be the one which partition a strip into different blocks with different sizes. The embedding route is raster scan of the partitioned blocks. In our framework, only the sizes of the blocks need to be recorded as the overhead instead of the routes. The experimental results evaluated on 2000 natural images using several steganalytic algorithms demonstrate that our proposed method decreases the image distortion and thus enhances the security.

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Section: Wu Et Al's Methodsmentioning

confidence: 99%

Section: Resistance To Blind Steganalysismentioning

confidence: 97%

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An efficient steganographic framework based on dynamic blocking and genetic algorithm

Iranpour

Rahmati

2014

Multimed Tools Appl

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“…The quality of the stego-image produced by simple LSB substitution may not be acceptable if a large amount of LSBs is used for data embedding. As an example, a stego-image can achieve a peak signal-to-noise ratio (PSNR) as low as 31.78 dB by using a simple LSB-4 replacement [29,[32][33][34]. The use of the optimal pixel adjustment process (OPAP) improves the perceptual quality of the stego-image when compared to using the simple LSB substitution method alone.…”

Section: Related Workmentioning

confidence: 99%

“…It is worth stating that one of the most widespread approaches that become a base for a large amount of modern algorithms for secret data hiding is PVD, which can provide high embedding capacity and extremely good stego-image visual quality. For instance, the PVD method can achieve the capacity of 50,960 bytes (1.555 bpp) for Lena test image and its stego-image has a PSNR of 41.79 dB [34]. The main idea behind PVD is to use the difference between two consecutive pixels of a gray scale image to hide data.…”

Section: Related Workmentioning

confidence: 99%

A New Steganographic Algorithm Based on Multi Directional PVD and Modified LSB

Darabkh

2017

ITC

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Steganographic techniques can be utilized to conceal data within digital images with small or invisible changes in the perceived appearance of the image. Generally, five main objectives are used to assess the performance of steganographic algorithms which include embedding capacity, imperceptibility, security, robustness and complexity. However, steganographic algorithms hardly take all of these factors into account. In this paper, a novel steganographic algorithm for digital images is proposed based on the pixel-value differencing (PVD) and modified least-significant bit (LSB) substitution (MDPVD-MLSB) techniques to address most of aforementioned objectives. Although there are many techniques for concealing data within pixels, the restricting factor is always the amount of bits adjusted in every pixel. Therefore, the main contributions of this paper aim to achieve a balance between the amount of embedded data, the level of acceptable distortion, as well as providing high level of security. The performance of this algorithm has been extensively evaluated in terms of embedding capacity, peak signal-to-noise ratio (PSNR) and structural similarity index measure (SSIM). Simulation results and comparisons with six relevant algorithms are presented to demonstrate the effectiveness of this proposed algorithm.

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A Dual Image Based Data Hiding Scheme Based on Difference of Pixel Values in Integer Wavelet Transform Domain

Midya

Chowdhuri

Pal

et al. 2022

Communications in Computer and Information Science

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Exploring pixel-value differencing and base decomposition for low distortion data embedding

Cited by 31 publications

References 26 publications

An efficient steganographic framework based on dynamic blocking and genetic algorithm

An efficient steganographic framework based on dynamic blocking and genetic algorithm

A New Steganographic Algorithm Based on Multi Directional PVD and Modified LSB

A Dual Image Based Data Hiding Scheme Based on Difference of Pixel Values in Integer Wavelet Transform Domain

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