Histogram based multilevel reversible data hiding scheme using simple and absolute difference images

Kukreja, Sonal; Kasana, Singara Singh; Kasana, Geeta

doi:10.1007/s11042-018-6169-0

Cited by 9 publications

(5 citation statements)

References 32 publications

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“…However, they suffered a low embedding capacity for texture images. In the DE-based category, the attention of several researchers was attracted [14,[19][20][21][22][23][24][25][26][27][28]. In 2003, Tian [14] proposed the first DE-based scheme.…”

Section: Introductionmentioning

confidence: 99%

“…However, by doing so, the original pixels will be twice changed for containing the secret data, causing much distortion in the stego-images. To overcome this shortcoming, several improved solutions were proposed in [20][21][22][23][24][25]. To further improve the performance of Alattar's scheme, Liu et al [20] proposed a novel DE-based RDH scheme by using a reduced difference expansion (RDE) algorithm.…”

Section: Introductionmentioning

confidence: 99%

“…Liu et al's scheme obtained the better quality of stego-images. Later on, to improve embedding capacity further, a hybrid RDH scheme based on DE and HS techniques was proposed by Kukreja et al [25]. In Kukreja et al's scheme, the cover image is divided into non-overlapping blocks with the size of a × b pixels.…”

Section: Introductionmentioning

confidence: 99%

“…For the blocks belonging to the changeable group, the original difference values are directly modified to embed secret data by the DE algorithm. By applying the RDE technique, these RDE-based RDH schemes [20][21][22][23][24][25][26][27][28] achieved the better image quality of stego-images. However, they offered a low embedding capacity, because each pair of pixels is used to carry only one secret bit.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A Novel Reversible Data Hiding Algorithm Based on Enhanced Reduced Difference Expansion

Nguyen

Huynh

2022

Symmetry

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Reversible data hiding is a data-hiding technique which has the ability to recover the original version from stego-images after the secret information is extracted. In this paper, we propose a novel reversible data-hiding scheme based on an enhanced reduced difference-expansion technique. In the proposed scheme, the original image is divided into non-overlapping quad-blocks for embedding data. Then, to enhance the security, the secret bits are encrypted based on the encryption key and a symmetry-based strategy. To improve embedding capacity further, two adjacent encrypted bits are converted into a corresponding decimal digit. Difference expansion (DE) technique is applied to embed a decimal form instead of a binary version. Moreover, to maintain the good image quality, the enhanced reduced difference-expansion technique is used to reduce the original difference values so that it is suitable for decimal embedding. The experimental results demonstrated that the proposed scheme has achieved better performance in comparison with previous solutions.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Novel Reversible Data Hiding Algorithm Based on Enhanced Reduced Difference Expansion

Nguyen

Huynh

2022

Symmetry

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“…Since the prediction value is similar to the current pixel, the prediction error histogram is superior to the difference histogram for data hiding. Thus, different kinds of predictors were presented to increase the prediction accuracy for obtaining the histogram with many bins around the bin zero, such as such as linear prediction [19], Median edge detector (MED) [20], rhombus prediction [21] and partial differential equation (PDE) [22]. Above predictors only employ intra-relationships to compute the predicted values for the current pixel.…”

Section: Introductionmentioning

confidence: 99%

Taylor expansion based stereo image reversible data hiding

Ying

Zhou

2020

Preprint

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The reversible data hiding allows original image to be completely recovered from the stego image when the secret data has been extracted, it is has drawn a lot of attentions from researchers. In this paper, a novel Taylor Expansion (TE) based stereo image reversible data hiding method is presented. Since the prediction accuracy is essential to the data hiding performance, a novel TE based predictor using correlations of two views of the stereo image is proposed. TE can fully exploit strong relationships between matched pixels in the stereo image so that the accuracy of the prediction can be improved. Then, histogram shifting is utilized to embed data to decrease distortion of stereo images, and multi-level hiding can increase embedding capacity. Experimental results show that the proposed method is superior to some existing data hiding methods considering embedding capacity and the quality of the stego stereo images.

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Image segmentation approach based on adaptive flower pollination algorithm and type II fuzzy entropy

Mahajan

Mittal

Pandit

2022

Multimed Tools Appl

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Histogram based multilevel reversible data hiding scheme using simple and absolute difference images

Cited by 9 publications

References 32 publications

A Novel Reversible Data Hiding Algorithm Based on Enhanced Reduced Difference Expansion

A Novel Reversible Data Hiding Algorithm Based on Enhanced Reduced Difference Expansion

Taylor expansion based stereo image reversible data hiding

Image segmentation approach based on adaptive flower pollination algorithm and type II fuzzy entropy

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