Two-dimensional histogram modification based reversible data hiding using motion vector for H.264

Dong, Li; Zhang, Yingnan; Li, XinChao; Niu, Ke; Yang, Xiaoyuan; Sun, Yanjun

doi:10.1007/s11042-018-6729-3

Cited by 13 publications

(15 citation statements)

References 15 publications

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“…Accordingly, the horizontal directional information n (1) and the vertical directional information n (2) are obtained as the sum of absolute adjacent pixel difference values in the horizontal and vertical direction, respectively, as specified by…”

Section: Construction Of Multiple Pehmentioning

confidence: 99%

“…, w 9 are the surrounding pixels of the to-be-predicted pixel x (Figure 1(b)). e directional information n (1) and n (2) represent the local complexities in the horizontal and vertical directions, respectively. To obtain LC, n (1) and n (2) are combined using equation (10), as specified by…”

Section: Construction Of Multiple Pehmentioning

confidence: 99%

“…Several RDH techniques have been proposed for histogram modification (HM) [2,3], difference expansion (DE) [4][5][6], prediction-error expansion (PEE) [7][8][9][10], deep neural networks (DNN) [11,12], and multiple histogram modification (MHM) [3,12,13], and so forth. In recent years, MHM has attracted considerable attention owing to its potential in revealing spatial redundancy in natural images, while DNN suggests a new research direction since DNN serves as a higher performance predictor for predictionbased RDH methods.…”

Section: Introductionmentioning

confidence: 99%

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Improving the Security of Reversible Data Hiding Using Multiple Histogram Modification

Chen

Wang

Zhou

et al. 2022

Mathematical Problems in Engineering

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Reversible data hiding (RDH) allows carrying secret information in cover media without introducing permanent distortion. For a RDH method, the important performance measurements are embedding capacity and image quality. Since embedding capacity is an important requirement in the field of data hiding, it is necessary to consider the security of data embedding in RDH applications. In general, RDH algorithms usually prefer data embedding in simple image regions with low local complexity. As a result, image degradation is alleviated at the cost of poor embedding security. In this study, a novel RDH method is proposed to embed data into complex image regions, wherein the data hiding becomes more secure in defending against modern steganalysis. To measure regional local complexity, the harmonic mean of directional local variances is employed to combine directional pixel differences. To embed data into complex regions instead of smooth regions, multiple histogram modification is adopted and updated for optimized data embedding with higher complexity. Experiment results show that embedding security is significantly improved with a considerable amount of payload and well-preserved image quality.

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Section: Construction Of Multiple Pehmentioning

confidence: 99%

Section: Construction Of Multiple Pehmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Improving the Security of Reversible Data Hiding Using Multiple Histogram Modification

Chen

Wang

Zhou

et al. 2022

Mathematical Problems in Engineering

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“…In addition, the distribution of zero values also has a great impact on the efficiency of entropy encoding. To improve embedding efficiency, several 2D HS-based RDH schemes have recently been proposed for JPEG images [29] and H.264/AVC videos [33,34,37], which will be analyzed in the following section.…”

Section: Hs-based Rdh Techniquementioning

confidence: 99%

“…Kim et al [35] proposed an RDH algorithm based on compensation, reducing the modification of DCT coefficients. Niu et al [36] presented an algorithm based on the HS of MVs, and to further improve the embedding performance, they also presented a 2D HS-based method of MVs [37].…”

Section: Introductionmentioning

confidence: 99%

Two-Dimensional Histogram Shifting-Based Reversible Data Hiding for H.264/AVC Video

2020

Applied Sciences

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Histogram shifting (HS) has been proved to be a great success in reversible data hiding (RDH). To reduce the quality loss of marked media and the increase in file size, several two-dimensional (2D) HS schemes based on the characteristics of cover media have been proposed recently. However, our analysis shows that the embedding strategies used in these methods can be further optimized. In this paper, two new 2D HS schemes for RDH in H.264/AVC video are developed, one of which uses the DCT coefficient pairs with both values 0 and the other does not. The embedding efficiency of a DCT coefficient pair in different embedding modes is firstly calculated. Then, based on the obtained embedding efficiency along with the statistical distribution of DCT coefficient pairs, two better embedding strategies are proposed. The secret data is finally embedded into the pairs of DCT coefficients of the middle and high frequencies using our proposed strategies. The comparison experiment results demonstrate that our schemes can achieve enhanced visual quality in terms of PSNR, SSIM, and entropy in most cases, and the increase in file size is smaller.

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A Fast Data Hiding Algorithm for H.264/AVC Video in Bitstream Domain

et al. 2020

Advances in Intelligent Systems and Computing

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Two-dimensional histogram modification based reversible data hiding using motion vector for H.264

Cited by 13 publications

References 15 publications

Improving the Security of Reversible Data Hiding Using Multiple Histogram Modification

Improving the Security of Reversible Data Hiding Using Multiple Histogram Modification

Two-Dimensional Histogram Shifting-Based Reversible Data Hiding for H.264/AVC Video

A Fast Data Hiding Algorithm for H.264/AVC Video in Bitstream Domain

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