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Multimedia information hiding method for AMBTC compressed images using LSB substitution technique

  • 1207: Innovations in Multimedia Information Processing & Retrieval​
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Abstract

Communication bandwidth plays a significant role in real-time communication. For this, absolute moment block truncation coding (AMBTC) has been popular. An AMBTC based high capacity multimedia data hiding method for covert communication is proposed in this paper. The proposed method applies AMBTC to the host image to get the compressed image in the form of AMBTC trios. The trios are then classified into three categories based on the difference between their quantization levels. The proposed method then adaptively conceals the secret message bits in the bitmaps of the trios based on their type. Additionally, the proposed method conceals two bits of secret data in every combination of quantization levels irrespective of their block types using the LSB substitution technique. The experimental results show that the proposed AMBTC based method is perform better to the other related data hiding based methods in terms of embedding capacity while providing comparable PSNR.

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Data availability

There is no external data used in this work. Other information will be available on request to Dr. Aruna Malik (arunacsrke@gmail.com).

Abbreviations

AMBTC:

Absolute Moment Block Truncation Coding

BTC:

Block Truncation Coding

DCT:

Discrete Cosine Transform

DWT:

Discrete Wavelet Transform

JNC:

Joint Neighbour Coding

LSB:

Least Significant Bit

PSNR:

Peak Signal-to-Noise Ratio

RDH:

Reversible Data Hiding

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Authors and Affiliations

  1. Department of CSE, Delhi Technological University New Delhi, New Delhi, India

    Rajeev Kumar

  2. Department of CSE, National Institute of Technology Jalandhar, Punjab, India

    Aruna Malik

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  1. Rajeev Kumar
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  2. Aruna Malik
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Correspondence to Aruna Malik.

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Kumar, R., Malik, A. Multimedia information hiding method for AMBTC compressed images using LSB substitution technique. Multimed Tools Appl 82, 8623–8642 (2023). https://doi.org/10.1007/s11042-022-14221-z

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