High-payload image hiding with quality recovery using tri-way pixel-value differencing

Lee, Yen-Po; Lee, Jen-Chun; Chen, Wei-Kuei; Chang, Ko-Chin; Su, Ing-Jiunn; Chang, Chien-Ping

doi:10.1016/j.ins.2012.01.002

Cited by 122 publications

(46 citation statements)

References 13 publications

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“…A high PSNR implies good imperceptibility of the watermarked image and its high similarity to the original image, and then, the host image is very slightly affected by the embedding process. The least acceptable value for PSNR is about 38 dB [17]. The similarity between the original watermark w and the extracted watermark w is evaluated by the NCC which is criteria for the robustness of the scheme and is calculated as follows:…”

Section: Resultsmentioning

confidence: 99%

A robust embedding and blind extraction of image watermarking based on discrete wavelet transform

Najafi

2017

Math Sci

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In this study, a new algorithm that can be used for copyright protection is proposed for the embedding and detection of a watermark in the domain of discrete wavelet transform (DWT). The elements of the logo watermark are embedded directly to the three-level DWT decomposed subbands. In addition to that, the scheme is considered as a completely blind scheme for both host image and watermark. Two kinds of security attacks have also been considered which confirms the security of the scheme. The experimental results and computer simulation of the proposed scheme have shown that the proposed approach has the desired properties such as invisibility, blind detection, and robustness against various geometrical and non-geometrical attacks.

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Section: Resultsmentioning

confidence: 99%

A robust embedding and blind extraction of image watermarking based on discrete wavelet transform

Najafi

2017

Math Sci

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“…This method obtained better embedding capacity. Lee et al [27] proposed data hiding algorithm to increased capacity with quality recovery based on tri-way PVD. Their experimental results demonstrated a high resistance to dual statistics steganalysis.…”

Section: Related Workmentioning

confidence: 99%

A New Approach for Data Hiding based on Pixel Pairs and Chaotic Map

Doğan¹

2018

IJCNIS

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Abstract-In this paper, a new data hiding algorithm based on pixel pairs using chaotic map is proposed. Data hiding scheme is created by applying modulo function to pixel pairs. In here, pseudo random number generator (PRNG) is obtained from chaotic maps. The PRNG is very important for this algorithm since the data hiding coefficients are chosen by PRNG. For example, if the coefficient is 0, subtraction operator is used between pixel pairs. If coefficient is 1, summary operator is used for selected pixel pairs. The proposed algorithm is evaluated by embedding different sized secret data into different test images. This method is compared with the determined studies in the literature and the obtained results is evaluated. In this study, special rules are also defined to pixels which have boundary values for resolve overflow/underflow problem.Minimal changes are performed to reach the desired value of the pixel values. According to the results obtained, the proposed algorithm has high visual quality, good running time, secure and high payload capacity.

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“…For a block, the difference between the two pixels is computed and changed to a new value by hiding data in it. The PVD technique with block size of 2 × 2 has been proposed to enhance the embedding capacity [4,5]. Chang and Tseng [6] considered the values of 2, 3, and 4 neighboring pixels to calculate the pixel value differences.…”

Section: Introductionmentioning

confidence: 99%

“…The traditional PVD steganography techniques [3][4][5] follow a static range table. Due to this, some undesired steps are introduced in pixel difference histograms of the stego images.…”

Section: Introductionmentioning

confidence: 99%

Adaptive PVD Steganography Using Horizontal, Vertical, and Diagonal Edges in Six-Pixel Blocks

Pradhan¹,

Sekhar²,

Swain³

2017

Security and Communication Networks

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The traditional pixel value differencing (PVD) steganographical schemes are easily detected by pixel difference histogram (PDH) analysis. This problem could be addressed by adding two tricks: (i) utilizing horizontal, vertical, and diagonal edges and (ii) using adaptive quantization ranges. This paper presents an adaptive PVD technique using 6-pixel blocks. There are two variants. The proposed adaptive PVD for 2 × 3-pixel blocks is known as variant 1, and the proposed adaptive PVD for 3 × 2-pixel blocks is known as variant 2. For every block in variant 1, the four corner pixels are used to hide data bits using the middle column pixels for detecting the horizontal and diagonal edges. Similarly, for every block in variant 2, the four corner pixels are used to hide data bits using the middle row pixels for detecting the vertical and diagonal edges. The quantization ranges are adaptive and are calculated using the correlation of the two middle column/row pixels with the four corner pixels. The technique performs better as compared to the existing adaptive PVD techniques by possessing higher hiding capacity and lesser distortion. Furthermore, it has been proven that the PDH steganalysis and RS steganalysis cannot detect this proposed technique.

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High-payload image hiding with quality recovery using tri-way pixel-value differencing

Cited by 122 publications

References 13 publications

A robust embedding and blind extraction of image watermarking based on discrete wavelet transform

A robust embedding and blind extraction of image watermarking based on discrete wavelet transform

A New Approach for Data Hiding based on Pixel Pairs and Chaotic Map

Adaptive PVD Steganography Using Horizontal, Vertical, and Diagonal Edges in Six-Pixel Blocks

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