An efficient reversible image authentication method using improved PVO and LSB substitution techniques

Hong, Wien; Chen, Meijin; Chen, Tung Shou

doi:10.1016/j.image.2017.07.001

Cited by 30 publications

(22 citation statements)

References 37 publications

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“…For the first trio, because b 1 − a 1 = 39 − 23 = 16 ≤ T, we embed 16 bits into the bitmap B 1 by replacing B 1 with the first 16 bits 0010001001100000 2 of S. Since the bitmap is replaced, a pair of quantization levels (â 1 ,b 1 ) has to find such that the distortion due to the bitmap replacement is the smallest.â 1 = 31 andb 1 = 23 can be obtained by solving Equation (6) the embedding parameters used, and the required reference table 16 R is shown in Figure 2. In this example, the bitmap is capable of carrying 16 bits while the pair of quantization levels are able to carry 2 log 16 4 = bits.…”

Section: A Simple Examplementioning

confidence: 99%

“…In this section, the embedding performance of the proposed method is compared with other recently published methods, including Huang 16, respectively, to accommodate the given payload. In Ou and Sun's method, the lossless embedding is also implemented to achieve the best performance.…”

Section: Comparison With Previous Schemesmentioning

confidence: 99%

“…According to the recoverability of the cover image, data-hiding methods can be classified into lossy [6][7][8][9][10][11][12][13][14] and lossless [15][16][17]. The least significant bit (LSB) matching [18] is one of the well-known lossy methods.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Efficient Data Hiding Based on Block Truncation Coding Using Pixel Pair Matching Technique

Hong

2018

Symmetry

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Abstract:In this paper, an efficient data hiding method that embeds data into absolute moment block truncation coding (AMBTC) codes is proposed. The AMBTC method represents image blocks by trios, and each trio consists of two quantization levels and an asymmetrically distributed bitmap. However, the asymmetric phenomena of bitmaps cause large degradation in image quality during data embedment. With the help of reference tables filled with symmetrical patterns, the proposed method exploits a symmetry adjustment model to modify the quantization levels in those smooth blocks to achieve the smallest distortion. If the block is complex, a lossless embedding method is performed to carry one additional bit. A sophisticated division switching mechanism is also proposed to modify a block from smooth to complex if the solution to the minimal distortion cannot be found. The payload can be adjusted by varying the threshold, or by embedding more bits into the quantization levels. The experiments indicate that the proposed work provides the best stego image quality under various payloads when comparing to the related prior works.

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Section: A Simple Examplementioning

confidence: 99%

Section: Comparison With Previous Schemesmentioning

confidence: 99%

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Efficient Data Hiding Based on Block Truncation Coding Using Pixel Pair Matching Technique

Hong

2018

Symmetry

Self Cite

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“…In recent years, researchers have been focusing more on image-splicing localization and achieved promising results [7] thanks to the advances in machine learning and deep learning [8][9][10]. Tampered regions of grayscale images were localized by different image-authentication techniques [11,12]. In Reference [6], a convolutional neural network (CNN)-based algorithm was proposed to extract features capturing characteristic traces from different camera models.…”

Section: Introductionmentioning

confidence: 99%

Hybrid Image-Retrieval Method for Image-Splicing Validation

et al. 2019

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Recently, the task of validating the authenticity of images and the localization of tampered regions has been actively studied. In this paper, we go one step further by providing solid evidence for image manipulation. If a certain image is proved to be the spliced image, we try to retrieve the original authentic images that were used to generate the spliced image. Especially for the image retrieval of spliced images, we propose a hybrid image-retrieval method exploiting Zernike moment and Scale Invariant Feature Transform (SIFT) features. Due to the symmetry and antisymmetry properties of the Zernike moment, the scaling invariant property of SIFT and their common rotation invariant property, the proposed hybrid image-retrieval method is efficient in matching regions with different manipulation operations. Our simulation shows that the proposed method significantly increases the retrieval accuracy of the spliced images.

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“…Weng et al [11] improved PVO method through embedding data adaptively into each block according to a local complexity analysis. Apart from the above methods, there are some other research directions of RDH, such as RDH in encrypted domain [12][13][14], RDH for JPEG images [15,16], RDH for RGB color images [17,18], RDH with the capability of image integrity authentication [19,20], RDH with image enhancement [21,22], and RDH with dual-image mechanism [23][24][25][26][27][28][29][30][31][32].…”

Section: Introductionmentioning

confidence: 99%

A general framework for shiftable position-based dual-image reversible data hiding

Yao

Qin

Tang

et al. 2018

J Image Video Proc.

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This paper proposes an improved method for shiftable position-based dual-image reversible data hiding. During the procedure of embedding data, the total number of shiftable coordinates is set as the parameter to make a trade-off between distortion and embedding rate. First, the optimal parameter is sought and the one-to-one code table is generated according to the expected embedding rate. Then, the message data is embedded into the cover image through a simple and effective code table lookup scheme to generate two visually similar stego images. During the procedure of data extraction, the message can be extracted in a reverse manner. The experimental results demonstrate that the proposed method has higher PSNR (peak signal-to-noise ratio) values than our previous work in the case of high embedding rates.

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An efficient reversible image authentication method using improved PVO and LSB substitution techniques

Cited by 30 publications

References 37 publications

Efficient Data Hiding Based on Block Truncation Coding Using Pixel Pair Matching Technique

Efficient Data Hiding Based on Block Truncation Coding Using Pixel Pair Matching Technique

Hybrid Image-Retrieval Method for Image-Splicing Validation

A general framework for shiftable position-based dual-image reversible data hiding

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