Stereo Image Coding with Histogram-Pair Based Reversible Data Hiding

Tong, Xuefeng; Shen, Guangce; Xuan, Guixin; Li, Shumeng; Yang, Zhiqiang; Li, Jian; Shi, Yun Q.

doi:10.1007/978-3-319-19321-2_15

Cited by 9 publications

(3 citation statements)

References 6 publications

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“…In Figure 11, factors are labeled on the horizontal axis and corresponding weights are marked by vertical axis. Coordinate vector (1,2,3,4,5,6,7,8,9) maps to the factors…”

Section: Experiments Resultsmentioning

confidence: 99%

“…In the past for more than two decades, RDH has been developed at full speed. So far, several application examples have been reported in numerous literatures, such as image authentication [1,2], integrity check [3], trusted cloud data coloring [4], medical image processing [5,6], and stereo image coding [7,8]. All the aforementioned reality applications benefit from a number of outstanding methods, such as lossless compression, least significant bit (LSB) replacement, difference expansion (DE), integer wavelet transform (IWT), histogram shifting (HS), prediction error expansion (PEE), and sorting.…”

Section: Introductionmentioning

confidence: 99%

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Obtuse Angle Prediction and Factor Evaluation for Image Reversible Data Hiding

Xiang

Yuan

Hou

2017

Mathematical Problems in Engineering

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A pixel-based pixel-value-ordering (PPVO) has been used for reversible data hiding to generate large embedding capacity and high-fidelity marked images. The original PPVO invented an effective prediction strategy in pixel-by-pixel manner. This paper extends PPVO and proposes an obtuse angle prediction (OAP) scheme, in which each pixel is predicted by context pixels with better distribution. Moreover, for evaluating prediction power, a mathematical model is constructed and three factors, including the context vector dimension, the maximum prediction angle, and the current pixel location, are analyzed in detail. Experimental results declare that the proposed OAP approach can achieve higher PSNR values than PPVO and some other state-of-the-art methods, especially in the moderate and large payload sizes.

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“…In Figure 11, factors are labeled on the horizontal axis and corresponding weights are marked by vertical axis. Coordinate vector (1,2,3,4,5,6,7,8,9) maps to the factors…”

Section: Experiments Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Obtuse Angle Prediction and Factor Evaluation for Image Reversible Data Hiding

Xiang

Yuan

Hou

2017

Mathematical Problems in Engineering

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show abstract

“…He proposed to embed the authentication information into a digital medium, and enable legitimate users to extract the embedded authentication information for verifying the authenticity of the received data. So far, there is a rapid increase of applications that utilize RDH, and several examples have been reported in the literature including image authentication [6], [7], medical image processing [8], [9], video error-concealment coding [10], stereo image coding [11], [12], vector map recovery in CAD (computer-aided design) engineering graphics [13], [14], and data coloring in the cloud [15], etc.…”

Section: Introductionmentioning

confidence: 99%

Reversible data hiding: Advances in the past two decades

et al. 2016

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In the past two decades, reversible data hiding (RDH), also referred to as lossless or invertible data hiding, has gradually become a very active research area in the field of data hiding. This has been verified by more and more papers on increasingly wide-spread subjects in the field of RDH research that have been published these days. In this survey paper the various RDH algorithms and researches have been classified into the following six categories: 1) RDH into image spatial domain, 2) RDH into image compressed domain (e.g., JPEG), 3) RDH suitable for image semi-fragile authentication, 4) RDH with image contrast enhancement, 5) RDH into encrypted images, which is expected to have wide application in the cloud computation, and 6) RDH into video and into audio. For each of these six categories, the history of technical developments, the current state of the arts, and the possible future researches are presented and discussed. It is expected that the RDH technology and its applications in the real word will continue to move ahead.

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A Strategy of Distinguishing Texture Feature for Reversible Data Hiding Based on Histogram Shifting

Peng

Yin

2019

Digital Forensics and Watermarking

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Stereo Image Coding with Histogram-Pair Based Reversible Data Hiding

Cited by 9 publications

References 6 publications

Obtuse Angle Prediction and Factor Evaluation for Image Reversible Data Hiding

Obtuse Angle Prediction and Factor Evaluation for Image Reversible Data Hiding

Reversible data hiding: Advances in the past two decades

A Strategy of Distinguishing Texture Feature for Reversible Data Hiding Based on Histogram Shifting

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