High capacity data hiding based on interpolated image

Zhang, Xianquan; Sun, Zhengxing; Tang, Zhenjun; Yu, Chunqiang; Wang, Xiaoyun

doi:10.1007/s11042-016-3521-0

Cited by 75 publications

(49 citation statements)

References 22 publications

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“…Consequently, (e i ,e j ) can be obtained as follows. 1 If s= f 2 (e i , e j ), e i = b k and e j = b k ; 2 If s= f 2 (e i +1, e j ), e i = b k +1 and e j = b k ; 3 If s= f 2 (e i -1, e j ), e i = b k -1 and e j = b k ; 4 If s= f 2 (e i , e j +1), e i = b k and e j = b k +1; 5 If s= f 1 (e i , e j -1), e i = b k and e j = b k -1; 6 If s= f 1 (e i +1, e j +1), e i = b k +1 and e j = b k +1; 7 If s= f 1 (e i +1, e j -1), e i = b k +1 and e j = b k -1; 8 If s= f 1 (e i -1, e j +1), e i = b k -1 and e j = b k +1; By the same way, secret data can be embedded into other pairs. Overall, if b k is only expanded leftward or rightward, two secret bits can be embedded into a pair of errors.…”

Section: Expanding Both Leftward and Rightwardmentioning

confidence: 99%

“…Image encryption converts a meaningful original image into an unrecognized one to prevent information leakage [3,4]. Different from image encryption, image data hiding modifies the pixel values of a cover image imperceptibly to embed secret data into the cover image so that the transmission of stego-image does not attract attacker's interest [5][6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

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Separable Reversible Data Hiding in Encrypted Image Based on Two-Dimensional Permutation and Exploiting Modification Direction

Zhang

et al. 2019

Mathematics

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In this paper, we propose a separable reversible data hiding method in encrypted image (RDHEI) based on two-dimensional permutation and exploiting modification direction (EMD). The content owner uses two-dimensional permutation to encrypt original image through encryption key, which provides confidentiality for the original image. Then the data hider divides the encrypted image into a series of non-overlapping blocks and constructs histogram of adjacent encrypted pixel errors. Secret bits are embedded into a series of peak points of the histogram through EMD. Direct decryption, data extraction and image recovery can be performed separately by the receiver according to the availability of encryption key and data-hiding key. Different from some state-of-the-art RDHEI methods, visual quality of the directly decrypted image can be further improved by the receiver holding the encryption key. Experimental results demonstrate that the proposed method outperforms some state-of-the-art methods in embedding capacity and visual quality.

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Section: Expanding Both Leftward and Rightwardmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Separable Reversible Data Hiding in Encrypted Image Based on Two-Dimensional Permutation and Exploiting Modification Direction

Zhang

et al. 2019

Mathematics

Self Cite

View full text Add to dashboard Cite

show abstract

“…This method is the first efficient algorithm for optimizing classification trees which can help our problem, see more about spatial interpolation of ViSAR frames and its pre-processing in [7,8]. In addition, many similar works exist that are about interpolation-based data embedding and histogram processing [9][10][11][12][13][14][15][16][17]; readers can follow them. Also, more information about interpolators can be found in [4,[18][19][20].…”

Section: Introductionmentioning

confidence: 99%

Efficient payload communications for IoT-enabled ViSAR vehicles using discrete cosine transform-based quasi-sparse bit injection

Khosravi

Samadi

2019

J Wireless Com Network

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High-performance remote sensing payload communication is a vital problem in airborne and space-borne surveillance systems. Among different remote sensing imaging systems, video synthetic aperture radar (ViSAR) is a new technology with lots of principal and managerial data which should be compressed, aggregated, and communicated from a radar platform (or a network of radars) to a ground station through wireless links. In this paper, a new data aggregation technique is proposed towards efficient payload transmission in a network of aerial ViSAR vehicles. Our proposed method is a combination of a recent interpolation-based data hiding (IBDH) technique and visual data transformation process using discrete cosine transform (DCT) which is able to outperform the reference method in terms of data aggregation ability.

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“…For Lena image, the payload and quality through Jana [6] scheme were 130,000 bits and 50.60 PSNR dB respectively. Some researcher has been focused on interpolation based data hiding techniques [2,10,12,15,16,18,29,[32][33][34][35][36][37]. [23] and [3] are focused on watermarking and image authentication based data hiding techniques respectively.…”

Section: Introductionmentioning

confidence: 99%

Directional pixel value ordering based secret sharing using sub-sampled image exploiting Lagrange polynomial

Meikap¹,

Jana

2019

SN Appl. Sci.

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In this paper, we proposed secret sharing within the sub-sampled image using Directional Pixel Value Ordering (DPVO) for Reversible Data Hiding scheme. The original cover is partitioned into sub-sampled images which extend its size through image interpolation technique. The secret information has been converted through Lagrange interpolation polynomial techniques. These new secret data is embedded within pixels of each interpolated sub-sampled images using DPVO. In the decoder side, the secret data is taken out from the pixels of every stego image using reverse DPVO. After that, Lagrange's interpolation is applied to generate the original secret message. The proposed scheme enhanced the security for the sharable characteristics of secrets amongst several images. It raises the data embedding capacity and improves the visual quality that is determined by peak signal to noise ratio (PSNR). The average PSNR value is over 60 dB. It shows the superiority of the new algorithm over the other existing data hiding methods regarding payload of data, quality, and security of the image. Also, the stego images have evaluated through standard deviation, regular singular analysis, correlation coefficient, normalized cross-correlation and structural similarity index in between original cover and marked (stego) image to display the robustness of our result among the several steganographic strikes.

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High capacity data hiding based on interpolated image

Cited by 75 publications

References 22 publications

Separable Reversible Data Hiding in Encrypted Image Based on Two-Dimensional Permutation and Exploiting Modification Direction

Separable Reversible Data Hiding in Encrypted Image Based on Two-Dimensional Permutation and Exploiting Modification Direction

Efficient payload communications for IoT-enabled ViSAR vehicles using discrete cosine transform-based quasi-sparse bit injection

Directional pixel value ordering based secret sharing using sub-sampled image exploiting Lagrange polynomial

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