A Histogram Shifting-Based Reversible Data Hiding Scheme Using Multi-pattern Strategy

Tseng, Chiung-Chen; Chiu, Yu-Hsuan; Chou, Yung-Chen

doi:10.1109/iih-msp.2015.11

Cited by 3 publications

(1 citation statement)

References 6 publications

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“…The secret bit '0' is extracted if the pixel belongs to the peak point. After all secret bits have been extracted, the image can be fully restored by shifting the pixels back to between the peak point and zero point [13].…”

Section: Histogram Shifting Based Methodsmentioning

confidence: 99%

Vicode: 3D Barcode with Embedded Video Using Histogram Shifting Based Reversible Data Hiding

2017

IJSR

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QR codes are widely used as an interface to connect advertisement contents and potential customers. The appearance of a traditional 2D barcode pattern is too obtrusive for integrating into an aesthetically designed advertisement, no visual hint about the encoded information is provided before the barcode is successfully decoded. These two issues limit the potential customers interest in scanning the barcode and reduce the chance of successful customer engagement. This paper proposes a new picture embedding 2D barcode, called PiCode, which mitigates these two limitations. This motivates to increase barcode storage capacity by developing video barcode, a way to integrate a video clip into a series of 2D barcodes (ViCode) is developed. To realize ViCode, new modulation and demodulation schemes are designed. This paper also gives an overview of different steganographic techniques such as histogram Shifting based Reversible Data Hiding Scheme, Reversible Data Embedding Using a Difference Expansion, An LSB Data Hiding and compare these methods according to PSNR, MSE and SSIM. ViCode has been implemented in Matlab on a PC.

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Section: Histogram Shifting Based Methodsmentioning

confidence: 99%

Vicode: 3D Barcode with Embedded Video Using Histogram Shifting Based Reversible Data Hiding

2017

IJSR

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Reversible Data Hiding based on optimized CNN predictor and Prediction Error Expansion with Lower Surround Background Complexity

Luo,

Qiu,

et al. 2024

Computers and Electrical Engineering

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Secure Reversible Data Hiding in Images Based on Linear Prediction and Bit-Plane Slicing

et al. 2022

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Reversible Data Hiding (RDH) should be secured as per requirements to protect content in open environments such as the cloud and internet. Integrity and undetectability of steganographic images are amongst the main concerns in any RDH scheme. As steganographic encryption using linear prediction over bit-planes is challenging, so the security and embedding capacity of the existing RDH techniques could not be adequate. Therefore, a new steganographic technique is proposed which provides better security, higher embedding capacity and visual quality to the RDH scheme. In this technique, the cover image is divided into n-bit planes (nBPs) and linear prediction is applied to it. Next, the histogram of the residual nBPs image is taken, and secret data bits are encrypted using the RC4 cryptographic algorithm. To embed the encrypted secret data bits, the histogram shifting process is applied. This is achieved by using peak and zero pairs of residual nBPs images. This scheme provides security to the cover image and hidden data. The proposed RDH scheme is capable of extracting the embedded secret data accurately and recovering the original cover or residual nBPs image.

show abstract

A Histogram Shifting-Based Reversible Data Hiding Scheme Using Multi-pattern Strategy

Cited by 3 publications

References 6 publications

Vicode: 3D Barcode with Embedded Video Using Histogram Shifting Based Reversible Data Hiding

Vicode: 3D Barcode with Embedded Video Using Histogram Shifting Based Reversible Data Hiding

Reversible Data Hiding based on optimized CNN predictor and Prediction Error Expansion with Lower Surround Background Complexity

Secure Reversible Data Hiding in Images Based on Linear Prediction and Bit-Plane Slicing

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