An RGB colour image steganography scheme using overlapping block-based pixel-value differencing

Prasad, Shiv; Pal, Arup Kumar

doi:10.1098/rsos.161066

Cited by 54 publications

(20 citation statements)

References 26 publications

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“…To analyse how well the proposed method is working, it is compared to some relevant methods proposed before like Wu and Tsai"s method [1], Joo et al"s method [3], Yang et al"s method [4], Tseng and Leng"s method [5], Mandal and Das"s method [7], Prasad and Pal"s method [8], Swain"s method [9] and Yang and Wang"s method [10]. In order to have a comparative analysis of the outcomes of proposed method, Table V and Table VI is constructed to show the comparison between proposed method and other existing methods for color image and gray image respectively.…”

Section: Comparative Analysis and Discussionmentioning

confidence: 99%

“…Where pixel value does not cross the range, the original PVD method is used and elsewhere proposed method has been used for embedding data. Instead of focusing on individual color component, three color components are constituted into two overlapping blocks in [8], where PVD technique is used separately on each block to conceal secret data. In [9], two steganographic technique is proposed based on adaptive quantization range.…”

Section: Literature Reviewmentioning

confidence: 99%

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Image Steganography using Combined Nearest and Farthest Neighbors Methods

Sharmin¹,

Ibrahim²

2019

IJACSA

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Security is invariably a significant concern during communication. With the ease of communication, there is always a pending threat of intrusion. Steganography is one such way to achieve security by concealing confidential information within a more innocent looking media like image, audio, video etc. In this paper, a new technique is proposed that uses the relationship of a pixel with its Nearest Neighbor and Farthest Neighbor to hide secret information into that pixel. The cover image is divided into2x2 non-overlapping blocks. According to the vulnerability of the relationship among the pixels, blocks are labelled as Stable and Unstable. The Stable block hides 'k' secret while unstable block hides 'n' secret bits. 25 types of different set of 'k' and 'n' is examined to evaluate the performance of proposed method. 2k method is applied to improve the quality of stego image. The experimental result shows that the proposed technique hides a significant number of secret bits with high PSNR. While compared with other existing methods, the proposed method achieves a much higher visual quality than that of those methods.

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Section: Comparative Analysis and Discussionmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Image Steganography using Combined Nearest and Farthest Neighbors Methods

Sharmin¹,

Ibrahim²

2019

IJACSA

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“…The idea behind this algorithm is that for insignificant colors, the number of bits that can be changed significantly per channel can be more than an RGB image [13]. The idea of this algorithm is that the lower color values of a channel have a smaller effect on the overall color of the pixel than the higher color values.…”

Section: Rgb Intensity Based Steganography Algorithmmentioning

confidence: 99%

File Concealment using the Paillier Method and RGB Intensity Based Steganography

Siahaan¹,

Aryza²

2018

Preprint

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Steganography is related to the addition of information to a given medium (referred to as cover media) without making visible changes to it. Most of the proposed steganography techniques cannot be applied to store large-scale data. In the new technique for RGB image steganography, color intensity (R-G-B) is used to determine the number of bits you want to store in each pixel. Meanwhile, to improve the security of stored confidential files, cryptographic methods will be applied. The Paillier cryptosystem invented by Pascal Paillier in 1999 is a probabilistic asymmetric algorithm for public key cryptography. The security of the Paillier algorithm depends on the problem of calculating the n-residue class that is believed to be very difficult to compute. This problem is known as the Composite Residuosity (CR) and is the basis of this Paillier cryptosystem. The software created can save secret files into a digital image into a stego image. The secret file can be extracted out through the extraction process.

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“…Therefore, researchers have improved on data hiding algorithms that require low computation time with acceptable visual quality at high embedding capacity in recent years. The least significant bits (LSB) [10]- [14], pixel value difference (PVD) [15]- [19], and exploiting modification direction (EMD) [20]- [24] algorithms are the most commonly used methods of image steganography in the spatial domain. The LSB substitution, PVD, and EMD algorithms are used together in the literature and it is observed good visual quality, high embedding capacity, and more secure [24][25][26][27][28][29][30][31][32][33].…”

Section: Introductionmentioning

confidence: 99%

High Embedding Capacity Data Hiding Technique Based on EMSD and LSB Substitution Algorithms

Solak

2020

IEEE Access

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Data hiding called steganography is a security technique to protect secret data throughout the transmission from malicious attackers. The purposes of steganography are to obtain good stego-image quality, high embedding-capacity, low computational complexity, visual imperceptibility, undetectability, and more security. In this paper, we offer a new hybrid image steganography technique based on least significant bit (LSB) substitution and enhanced modified signed digit (EMSD) algorithms. The proposed algorithm utilizes n adjacent cover image pixels to hide the secret data with EMSD algorithm, and least significant k-bit for LSB substitution algorithm. Hence, it has more embedding capacity than the EMSD algorithm and exploiting modification direction (EMD) based algorithms. We obtain that the stego-image quality is better than 43 dB when the payload is 2.404 bpp. The results of experiment represent that this algorithm ensures high embedding-capacity while preserving acceptable visual stego image quality that can be undetectable by human eyes. Also, the hybrid of the EMSD and LSB substitution algorithms is to difficult for malicious people to consolidate data by scrambling secret data bits. INDEX TERMS Data hiding, Data security, EMD (exploiting modification direction), EMSD (enhanced modified signed digit), GEMD (generalized exploiting modification direction), LSB (least significant bit), SMSD (sparse modified signed digit),

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An RGB colour image steganography scheme using overlapping block-based pixel-value differencing

Cited by 54 publications

References 26 publications

Image Steganography using Combined Nearest and Farthest Neighbors Methods

Image Steganography using Combined Nearest and Farthest Neighbors Methods

File Concealment using the Paillier Method and RGB Intensity Based Steganography

High Embedding Capacity Data Hiding Technique Based on EMSD and LSB Substitution Algorithms

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