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Inkjet-printed Polyvinyl Alcohol Multilayers

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Digital Image Watermarking via Adaptive Logo Texturization.

Mehran Andalibi, Damon M Chandler

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society

|September 10, 2015

Summary

This summary is machine-generated.

This study introduces an invisible grayscale logo watermarking algorithm using adaptive texturization. The method enhances robustness and imperceptibility by treating watermarking as a texture similarity task, outperforming existing methods.

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Area of Science:

Digital Image Processing
Computer Vision
Information Security

Background:

Grayscale logo watermarking is established for visual authentication.
Invisible watermarking faces challenges in imperceptibility and robustness against attacks.

Purpose of the Study:

To develop an invisible grayscale logo watermarking algorithm.
To enhance robustness and imperceptibility of watermarks.

Main Methods:

The algorithm uses adaptive texturization by separating host images into textured and poorly textured regions.
Logos are transformed into visually similar textures using Arnold transform and lossless rotation, guided by visual texture similarity models.
A wavelet-based embedding scheme is employed, followed by a multistep extraction with affine parameter estimation.

Main Results:

The proposed algorithm demonstrates superior overall performance compared to competing methods.
Testing across various logos, host images, and attacks validates the algorithm's effectiveness.

Conclusions:

The adaptive texturization approach effectively addresses challenges in invisible grayscale logo watermarking.
The method offers a robust and imperceptible solution for digital image watermarking.