Efficient Reversible Data Hiding Based on Multiple Histograms Modification

Li, Xiaolong; Zhang, Weiming; Gui, Xinlu; Yang, Bin

doi:10.1109/tifs.2015.2444354

Cited by 278 publications

(26 citation statements)

References 53 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the following, we describe some classical RDH methods from these two subclasses, and some applications of the CIE colour space and the development history of CIE colour space. The additional data is placed in the image using various techniques [9] histogram shifting [10], [11], difference expansion [12]- [15] or pixel value ordering, [16], [17].…”

Section: Related Workmentioning

confidence: 99%

“…According to the application, 𝐼 and 𝑝 are both provided previously and may be the same. Using a weighted average, the filtering result at pixel 𝑖 is expressed, 𝑞 𝑖 = ∑ 𝑊 𝑖𝑗 (𝐼)𝑝 𝑗 𝑗 (12) where 𝑖 and 𝑗 are pixel indexes that, using a function of the guidance picture 𝑖 and 𝑝's self-determining, filter the kernel 𝑊 𝑖𝑗 . This filter has a linear relationnship with 𝑝. where pixel indexes 𝑖 and 𝑗 are used.…”

Section: Channel Transformation Function (𝓒 𝑻 )mentioning

confidence: 99%

See 1 more Smart Citation

Colour image steganography through channel transformation approach

Neginal

Fatima²

2023

IJ-AI

View full text Add to dashboard Cite

The interest in information security strategies is expanding due the quick expansion in the use of media content and transmission over the web employments. Accordingly, there is a need of special embedding procedure for steganography. The creator presents an original reversible data hiding (RDH) algorithm for colour pictures that further develops the inserting execution by applying a channel transformation function and a versatile expectation blunder extension prediction error expansion structure. The proposed calculation will bring the first colour picture with no information misfortune from the inserted picture (which is unique in addition to target picture). The evaluation is done here at the zero for the given base place for the histogram that marginally changes the pixel esteems for inserting the information. It can insert more information when contrasted with the majority of the current data hiding calculations. A hypothetical confirmation and various examinations state that the embedding capability of the proposed model which consistently is further noteworthy in comparison with other reversible data hiding techniques. The calculation has been applied to a wide scope of various colour pictures effectively. Some exploratory outcomes are introduced to show the legitimacy of the calculation.

show abstract

Section: Related Workmentioning

confidence: 99%

Section: Channel Transformation Function (𝓒 𝑻 )mentioning

confidence: 99%

Colour image steganography through channel transformation approach

Neginal

Fatima²

2023

IJ-AI

View full text Add to dashboard Cite

show abstract

“…In [13][14][15], an image was divided into blocks of fixed size according to its steganalysis features; each block was classified, and the final classification results were acquired by voting and better with other method. Recently, various reversible information-hiding methods have been presented, such as multiple histogram modification [16], two-dimensional difference-histogram modification [17], histogram shifting mechanism [18] and vector quantization (VQ) index table with lossless coding and an adaptive switching mechanism [19]. Therefore, further research on the method of steganalysis needs to be conducted.…”

Section: Related Workmentioning

confidence: 99%

Markov bidirectional transfer matrix for detecting LSB speech steganography with low embedding rates

Yang

Tang

et al. 2018

Multimed Tools Appl

View full text Add to dashboard Cite

Steganalysis with low embedding rates is still a challenge in the field of information hiding. Speech signals are typically processed by wavelet packet decomposition, which is capable of depicting the details of signals with high accuracy. A steganography detection algorithm based on the Markov bidirectional transition matrix (MBTM) of the wavelet packet coefficient (WPC) of the second-order derivative-based speech signal is proposed. On basis of the MBTM feature, which can better express the correlation of WPC, a Support Vector Machine (SVM) classifier is trained by a large number of Least Significant Bit (LSB) hidden data with embedding rates of 1%, 3%, 5%, 8%,10%, 30%, 50%, and 80%. LSB matching steganalysis of speech signals with low embedding rates is achieved. The experimental results show that the proposed method has obvious superiorities in steganalysis with low embedding rates compared with the classic method using histogram moment features in the frequency domain (HMIFD) of the second-order derivative-based WPC and the second-order derivative-based Mel-frequency cepstral coefficients (MFCC). Especially when the embedding rate is only 3%, the accuracy rate improves by 17.8%, reaching 68.5%, in comparison with the method using HMIFD features of the second derivative WPC. The detection accuracy improves as the embedding rate increases.

show abstract

“…To further minimize the distortion, Ou et al [14] proposed a method of pairwise PEE for data hiding, which simultaneously uses a pair of prediction errors obtained from consecutive pixels and modifies the corresponding pixel values using 2D histogram modification strategy. Li et al [15] introduced a multiple histograms modification into data hiding, which is a more general framework and includes the conventional one as the special case. In addition, they verified that multiple histograms modification (MHM) embeds data with higher fidelity, and overall embedding on multiple prediction error histograms (PEHs) could be flexible by determining the target bins adaptively.…”

Section: Introductionmentioning

confidence: 99%

Adaptive data hiding scheme based on magic matrix of flexible dimension

Wu¹,

Horng²,

Chang³

2021

KSII TIIS

View full text Add to dashboard Cite

Magic matrix-based data hiding schemes are applied to transmit secret information through open communication channels safely. With the development of various magic matrices, some higher dimensional magic matrices are proposed for improving the security level. However, with the limitation of computing resource and the requirement of real time processing, these higher dimensional magic matrix-based methods are not advantageous. Hence, a kind of data hiding scheme based on a single or a group of multi-dimensional flexible magic matrices is proposed in this paper, whose magic matrix can be expanded to higher dimensional ones with less computing resource. Furthermore, an adaptive mechanism is proposed to reduce the embedding distortion. Adapting to the secret data, the magic matrix with least distortion is chosen to embed the data and a marker bit is exploited to record the choice. Experimental results confirm that the proposed scheme hides data with high security and a better visual quality.

show abstract

Efficient Reversible Data Hiding Based on Multiple Histograms Modification

Cited by 278 publications

References 53 publications

Colour image steganography through channel transformation approach

Colour image steganography through channel transformation approach

Markov bidirectional transfer matrix for detecting LSB speech steganography with low embedding rates

Adaptive data hiding scheme based on magic matrix of flexible dimension

Contact Info

Product

Resources

About