An optimal high capacity reversible data hiding scheme using move to front coding for LZW codes

Kumar, Rajeev; Chand, Satish; Singh, Samayveer

doi:10.1007/s11042-019-7640-2

Cited by 19 publications

(6 citation statements)

References 20 publications

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“…Reversible data hiding (RDH) has received great attention recently in the field of information hiding Security and Communication Networks [22,[31][32][33][34]. A significant challenge in RDH-based techniques is increasing the data hiding capacity along with image quality [31].…”

Section: Related Workmentioning

confidence: 99%

“…Kaur et al in [32] proposed an extension of the existing pixel value ordering methods to improve the quality of the stego image. Kumar et al in [33] employed Lempel Ziv Welch (LZW) encoding to improve the hiding capacity of the RDH. Other compression methods, such as AMBTC image compression, can be used for improving the quality of the stego image [36].…”

Section: Related Workmentioning

confidence: 99%

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A New Method of Coding for Steganography Based on LSB Matching Revisited

Fateh

Rezvani

Irani

2021

Security and Communication Networks

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LSB matching revisited is an LSB-based approach for image steganography. This method is a type of coding to increase the capacity of steganography. In this method, two bits of the secret message are hidden in two pixels with only one change. But this method provides no idea for hiding a message with a large number of bits. In other words, this method works only for n = 2 , where n is the number of bits in a block of the secret message. In this paper, we propose an improved version of the LSB matching revisited approach, which works for n > 2 . The proposed scheme contains two phases including embedding and extracting the message. In the embedding phase, we first convert the secret message into a bit-stream, and then the bit-stream is divided into a set of blocks including n bits in each block. Then we choose 2 n − 1 pixels for hiding such n bits of the secret message. In the next step, we choose the operations needed to generate such a message. Finally, we perform the obtained operations over the coefficients to hide the secret message. The proposed approach needs fewer changes than LSB MR when n > 2 . The capacity of the proposed approach is 2 n − 1 / 2 n − 1 − 1 × 100 % higher than the F5 method where this value for n > 2 is bigger than 75%. For example, the capacity of our scheme is 75% higher than the capacity of F5 for n = 3 . The proposed method can be used in the first step of every steganography method to reduce the change in the stego image. Therefore, this method is a new coding method for steganography. Our experimental results using steganalysis show that using our method provides around 10% higher detection error for SRNet over two steganography schemes.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

A New Method of Coding for Steganography Based on LSB Matching Revisited

Fateh

Rezvani

Irani

2021

Security and Communication Networks

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“…The blind attack can go for investigate steganographic embedding without any clue on embedding algorithm [12] is a more generic behavior and it's generally hard. [13] The paper focuses on hiding secret information to LZW codes present in cover media. It covers encoding method such as altered transpory to front (MTF) technique for secret data follows LZW of coding approach to get LZW codes.…”

Section: Related Workmentioning

confidence: 99%

A Novel Secure Data Hiding Technique into Video Sequences Using RVIHS

R¹,

J²

2021

IJCNIS

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Most of the present hiding techniques on video are considered over plaintext domain and plain video sequences are used to embed information bits. The work presented here reveals the novelty for information embedding in a video sequence over the ciphered domain. The carrier video signal is encrypted using chaos technique which uses multiple chaotic maps for encryption. The proposed reversible video information hiding scheme (RVIHS) exhibits an innovative property that, at the decoding side we can perfectly extract the information along with carrier video without any distortion. The public key modulation is a mechanism used to achieve data embedding, where as in secret key encryption is not required. The proposed approach is used to differentiate encoded and non-encoded picture patches at decoder end by implementing 2 class Support Vector Machine grouping. This helps for us to retrieve the original visual sequence with embedded message and to scale up embedding capacity. The experiment is conducted using real time videos for embedding the information. The outcome of proposed work bring about best embedding capacity, compared to existing techniques.

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“…In the past few years, some scholars have proposed different data hiding methods by using compressed code, such as BTC, LZW and VQ [33]- [40] to hide secret data. Lin et al [33] proposed a reversible data hiding method for vector quantization (VQ) compressed images, which utilizes search-order-coding and state-codebook mapping techniques to reduce the size of the VQ index table and maps the indices of blocks in the codebook for more redundancy, thus, it has higher capacity than similar methods.…”

Section: Introductionmentioning

confidence: 99%

“…It further provides addition hiding capacity by increasing the layers, without deteriorating the image quality. Kumar et al [40] proposed a reversible data hiding method using MFT coding for LZW codes, which improves hiding capacity by optimally using LZW codes, and utilizes the MFT to encode the cover image and further increase hiding capacity. Jung [22] proposed an improved data hiding scheme where the cover image is firstly divided into consecutive pixel pairs, and then two bit-planes are generated using a modulo operation, where finally the secret bits are embedded into each bit plane using the PVD and LSB techniques separately.…”

Section: Introductionmentioning

confidence: 99%

ABMC-DH: An Adaptive Bit-Plane Data Hiding Method Based on Matrix Coding

Lin

Chang

2020

IEEE Access

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This paper proposes a novel adaptive image steganography method combining matrix coding, which can achieve better visual quality according to the given embedding rate compared with other existing schemes. The embedding processes are divided into two phases: preparation and implementation. In the preparation phase, all 128 combinations of a 7-bit binary number are classified into eight groups by a parity check matrix based on matrix coding. Thus, each group corresponds to an octal number, and contains 16 candidates. Correspondingly, all pixels of a cover image are classified into three categories by a predefined embedding rate level: low, middle, and high. In the implementation phase, each pixel in the high level can be embedded with 3 bits by substituting its 7 LSBs (Least Significant Bit) using a close candidate from the group determined by the to-be-embedded 3 bits. For the middle level, pixel pairs are used to hide 3-bit data by substituting its (3, 4) LSBs combination using a close candidate form the group determined by the to-be-embedded 3 bits. For pixels in the low level, a triple pixel combination is used to embed 3-bit data by substituting its (2, 2, 3) LSBs combination using a close candidate form the group determined by the to-be-embedded 3 bits. The experimental results indicate that the proposed scheme is optimal compared to other existing matrix-coding data hiding schemes in terms of visual quality, while providing an identical embedding capacity. INDEX TERMS Adaptive data hiding, steganography, matrix coding, optimal visual quality.

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An optimal high capacity reversible data hiding scheme using move to front coding for LZW codes

Cited by 19 publications

References 20 publications

A New Method of Coding for Steganography Based on LSB Matching Revisited

A New Method of Coding for Steganography Based on LSB Matching Revisited

A Novel Secure Data Hiding Technique into Video Sequences Using RVIHS

ABMC-DH: An Adaptive Bit-Plane Data Hiding Method Based on Matrix Coding

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