Energy-Efficient Watermarking System Through Approximate Discrete Haar Wavelet Transform

This work introduces a low-energy-driven watermarking system that employs the approximate discrete Haar Wavelet transform (AxDHWT) to insert watermark images into host images. Our contribution involves developing an energy-efficient AxDHWT watermarking system in VLSI hardware. Additionally, we present a model implemented in MATLAB, incorporating probability theory for accuracy estimation, along with extensive testing conducted under diverse attack scenarios. Logic synthesis (LS) results show that the AxDHWT watermarking system demonstrates low power and reduces area cost, featuring ten fewer arithmetic circuits than the current state-of-the-art. Remarkably, our AxDHWT-based architecture showcases reductions of <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$1.33\times$</tex> in area and <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$2.88\times$</tex> in energy consumption compared to the state-of-the-art system.

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Publication Details

Published
2024-11-18
DOI
https://doi.org/10.1109/icecs61496.2024.10848843
Citations
1
Primary Topic
Advanced Steganography and Watermarking Techniques
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article
Field-Weighted Citation Impact
0.25
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article

Energy-Efficient Watermarking System Through Approximate Discrete Haar Wavelet Transform

Rafael Soares, Sérgio Bampi, Tobias Rutz, Eduardo Costa et al.
1 citations
Advanced Steganography and Watermarking Techniques
0.25
article

Energy-Efficient Watermarking System Through Approximate Discrete Haar Wavelet Transform

Rafael Soares, Sérgio Bampi, Tobias Rutz, Eduardo Costa, Morgana da Rosa, Rodrigo Lopes
article en
1 citations

Abstract

This work introduces a low-energy-driven watermarking system that employs the approximate discrete Haar Wavelet transform (AxDHWT) to insert watermark images into host images. Our contribution involves developing an energy-efficient AxDHWT watermarking system in VLSI hardware. Additionally, we present a model implemented in MATLAB, incorporating probability theory for accuracy estimation, along with extensive testing conducted under diverse attack scenarios. Logic synthesis (LS) results show that the AxDHWT watermarking system demonstrates low power and reduces area cost, featuring ten fewer arithmetic circuits than the current state-of-the-art. Remarkably, our AxDHWT-based architecture showcases reductions of <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$1.33\times$</tex> in area and <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$2.88\times$</tex> in energy consumption compared to the state-of-the-art system.

Universidade Católica de Pelotas (BR), Universidade Federal do Rio Grande do Sul (BR), Universidade Federal de Pelotas (BR)
Affordable and clean energy
Openalex Percentile: Top 42%
Advanced Steganography and Watermarking Techniques
0.25
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Energy-Efficient Watermarking System Through Approximate Discrete Haar Wavelet Transform — Rafael Soares, Sérgio Bampi, et al. · (2024) | TGRS Research Map | TGRS