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Related Experiment Video

Updated: Jul 13, 2025

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

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Resampling-Detection-Network-Based Robust Image Watermarking against Scaling and Cutting.

Hao-Lai Li¹, Xu-Qing Zhang², Zong-Hui Wang²

¹EFORT Intelligent Equipment Co., Ltd., Shanghai 201600, China.

Sensors (Basel, Switzerland)

|October 14, 2023

Summary

This summary is machine-generated.

This study introduces a robust digital watermarking scheme using DWT-DCT transforms. The method effectively protects multimedia privacy against scaling and cutting attacks, ensuring data integrity.

Keywords:

cutting robustness image watermarking resampling detection network scaling robustness

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Area of Science:

Digital image processing
Multimedia security
Computer vision

Background:

Digital watermarking is crucial for multimedia privacy.
Existing methods are vulnerable to attacks like scaling and cutting.
Robustness against geometric transformations remains a challenge.

Purpose of the Study:

To propose a novel digital watermarking scheme.
To enhance robustness against image scaling and cutting attacks.
To maintain high imperceptibility and performance.

Main Methods:

Embedding watermarks in DWT-DCT composite transform coefficients.
Utilizing a resampling detection network to identify and correct scaling factors.
Employing a template watermark in the Y channel for cutting detection.

Main Results:

The proposed scheme demonstrates significant robustness against various image processing operations and geometric attacks.
Effective detection and correction of scaling attacks were achieved.
Accurate localization of cutting positions was enabled by the template watermark.

Conclusions:

The DWT-DCT based watermarking scheme offers excellent imperceptibility and robustness.
The integration of a resampling detection network and template watermark enhances resilience.
This approach provides a reliable solution for multimedia privacy protection.