An efficient image interpolation increasing payload in reversible data hiding

Authors:
Chin-Feng Lee;Yu-Lin Huang
Affiliations:
Department of Information Management, Chaoyang University of Technology, Taichung 41349, Taiwan;Department of Information Management, Chaoyang University of Technology, Taichung 41349, Taiwan
Venue:
Expert Systems with Applications: An International Journal
Year:
2012

Citing 9
Cited 1

Data hiding method using image interpolation

Computer Standards & Interfaces
High payload steganography mechanism using hybrid edge detector

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A novel data hiding scheme based on modulus function

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Adaptive Data Hiding in Edge Areas of Images With Spatial LSB Domain Systems

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New edge-directed interpolation

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Reversible watermark using the difference expansion of a generalized integer transform

IEEE Transactions on Image Processing
Lossless generalized-LSB data embedding

IEEE Transactions on Image Processing
Reversible data embedding using a difference expansion

IEEE Transactions on Circuits and Systems for Video Technology
Reversible data hiding

IEEE Transactions on Circuits and Systems for Video Technology

Hierarchy-based reversible data hiding

Expert Systems with Applications: An International Journal

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Abstract

Image interpolation is a very important branch in image processing. It is widely used in imaging world, for example, image interpolation is often used in 3-D medical image to compensate for information insufficiency during image reconstruction by simulating additional images between two-dimensional images. Reversible data hiding has become significant branch in information hiding field. Reversibility allows the original media to be completely restored without any degradation after the embedded messages have been extracted. This study proposes a high-capacity image hiding scheme by exploiting an interpolating method called Interpolation by Neighboring Pixels (INP) on Maximum Difference Values to improve the performance of data hiding scheme proposed by Jung and Yoo. The proposed scheme offers the benefits of high embedding capacity with low computational complexity and good image quality. The experimental results showed that the proposed scheme has good performance for payload up to 2.28 bpp. Moreover, the INP yields higher PSNRs than other interpolating methods such as NMI, NNI and BI.