An efficient reversible data hiding with reduplicated exploiting modification direction using image interpolation and edge detection

Lee, Chin‐Feng; Weng, Chi-Yao; Chen, Kai-Chin

doi:10.1007/s11042-016-3591-z

Cited by 29 publications

(11 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The average PSNR was 51.157 dB when the embedding rate was 1 bit per grayscale pixel and the average PSNR was 31.847 dB when the embedding rate was 4 bpp with good security and absence of overflow/underflow. In 2017, Lee et al proposed an REMD [8] method using image interpolation and edge detection that achieved an embedding capacity of 3.01 bpp with an average image quality of 33 dB.…”

Section: The Emd Embedding Methods and The Emd Extensionsmentioning

confidence: 99%

See 1 more Smart Citation

High-Capacity Embedding Method Based on Double-Layer Octagon-Shaped Shell Matrix

et al. 2021

Self Cite

View full text Add to dashboard Cite

Data hiding is a technique that embeds a secret message into a cover medium and transfers the hidden information in the secret message to the recipient. In the past, several data hiding methods based on magic matrix have used various geometrical shapes to transmit secret data. The embedding capacity achieved in these methods was often limited due to simple geometrical layouts. This paper proposes a data hiding scheme based on a double-layer octagon-shaped shell matrix. Compared to previous octagon-shaped data hiding methods, the proposed method embeds a total of 7 bits in each pixel pair, reaching an embedding capacity of 3.5 bits per pixel (bpp). Experimental results show that the proposed scheme has a higher embedding capacity compared to other irreversible data hiding schemes. Using the proposed method, it is possible to maintain the Peak Signal to Noise Ratio (PSNR) within an acceptable range with the embedding time less than 2 s.

show abstract

Section: The Emd Embedding Methods and The Emd Extensionsmentioning

confidence: 99%

“…The experimental results showed that Lee and Chen's scheme achieved a high embedding capacity and a low distortion. In 2017, Lee et al proposed an REMD [8] method using image interpolation and edge detection that achieved an embedding capacity of 3.01 bpp with an average image quality of 33 dB.…”

Section: Introductionmentioning

confidence: 99%

High-Capacity Embedding Method Based on Double-Layer Octagon-Shaped Shell Matrix

et al. 2021

Self Cite

View full text Add to dashboard Cite

show abstract

“…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.

View full text Add to dashboard Cite

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.

show abstract

“…A solution to these problems is to employ a data hiding method, in which secret data are embedded into a digital media to cover the presence of embedment, or to protect the transmitted contents. Data hiding methods for images can be classified into irreversible [1][2][3] and reversible [4][5][6][7] methods. The cover images of both methods are distorted to obtain stego images.…”

Section: Introductionmentioning

confidence: 99%

“…The difference expansion scheme proposed by Tian [8] and the histogram shifting scheme proposed by Ni et al [9] are two well-known methods of this type. Many recent works [4][5][6][7] have exploited the merits of [8,9] to propose improved methods with better embedding efficiency. In contrast, compressed domain methods modify the coefficients of compressed codes [10], or use the joint neighborhood coding (JNC) [11] scheme to embed data bits into the compressed code stream.…”

Section: Introductionmentioning

confidence: 99%

Joint Adaptive Coding and Reversible Data Hiding for AMBTC Compressed Images

2018

View full text Add to dashboard Cite

This paper proposes a joint coding and reversible data hiding method for absolute moment block truncation coding (AMBTC) compressed images. Existing methods use a predictor to predict the quantization levels of AMBTC codes. Equal-length indicators, secret bits and prediction errors are concatenated to construct the output code stream. However, the quantization levels might not highly correlate with their neighbors for predictive coding, and the use of equal-length indicators might impede the coding efficiency. The proposed method uses reversible integer transform to represent the quantization levels by their means and differences, which is advantageous for predictive coding. Moreover, the prediction errors are better classified into symmetrical encoding cases using the adaptive classification technique. The length of indicators and the bits representing the prediction errors are properly assigned according to the classified results. Experiments show that the proposed method offers the lowest bitrate for a variety of images when compared with the existing state-of-the-art works.

show abstract

An efficient reversible data hiding with reduplicated exploiting modification direction using image interpolation and edge detection

Cited by 29 publications

References 18 publications

High-Capacity Embedding Method Based on Double-Layer Octagon-Shaped Shell Matrix

High-Capacity Embedding Method Based on Double-Layer Octagon-Shaped Shell Matrix

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

Joint Adaptive Coding and Reversible Data Hiding for AMBTC Compressed Images

Contact Info

Product

Resources

About