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An Anti-cropping Watermarking Method for Facial Images Using Prediction and Weber Ratio Techniques

Authors:

Tejtasin Phiasai,

Punnarumol Temdee,

Kosin ChamnongthaiAuthors Info & Claims

Wireless Personal Communications: An International Journal, Volume 85, Issue 2

Pages 421 - 448

https://doi.org/10.1007/s11277-015-2747-x

Published: 01 November 2015 Publication History

Abstract

When a digital facial image is published in any social network, often the facial part of the image is cropped and abused without the owner permission. It is extremely difficult to verify the owner, especially in cases where the embedded watermark does not cover the cropped face part. This paper proposes a digital image watermarking method that is robust against cropping attack in the spatial domain for protecting the copyright of facial images. The face region in an image is evaluated by using phase correlation technique for embedding the watermark. A binary watermark is defined to be embedded in the facial region. Pixels for embedding the watermark are predicted and altered based on the Weber ratio to control the strength of the watermark in order to make it imperceptible to the human eye. The watermark is extracted from the watermarked image that does not require the original image by subtracting the watermarked pixel from its predicted pixel. After this, the pieces of the extracted watermarks are verified to measure their similarity with the original watermark. The experimental results show that our method yielded 82 % similarity with the original watermark image, when it was attacked by the cropping attacks for any shapes, sizes, locations and the JPEG compression.

References

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Digital Library

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Digital Library

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Phiasai, T., Kumhom, P., & Chamnongthai, K. (2003, July). A method for reconstructing watermark from cropped watermarked image. In ITC CSCC (Vol. 1, pp. 108---111).

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Phiasai, T., Arunrungrusmi, S., & Chamnongthai, K. (2001). Face recognition system with PCA and moment invariant method. In The 2001 IEEE international symposium on circuits and systems (ISCAS) (Vol. 2, pp. 165---168).

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Cited By

Melman AEvsutin O(2024)Methods for countering attacks on image watermarking schemesJournal of Visual Communication and Image Representation10.1016/j.jvcir.2024.10407399:COnline publication date: 1-Mar-2024
https://dl.acm.org/doi/10.1016/j.jvcir.2024.104073
Pal PJana BBhaumik J(2021)An Image Authentication and Tampered Detection Scheme Exploiting Local Binary Pattern Along with Hamming Error Correcting CodeWireless Personal Communications: An International Journal10.1007/s11277-021-08666-y121:1(939-961)Online publication date: 1-Nov-2021
https://dl.acm.org/doi/10.1007/s11277-021-08666-y

An Anti-cropping Watermarking Method for Facial Images Using Prediction and Weber Ratio Techniques
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision problems
  2. Computer graphics
2. Mathematics of computing
  1. Mathematical analysis
    1. Numerical analysis

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Published In

cover image Wireless Personal Communications: An International Journal

Wireless Personal Communications: An International Journal Volume 85, Issue 2

November 2015

256 pages

ISSN:0929-6212

Issue’s Table of Contents

Copyright © Copyright © 2015 Springer Science+Business Media New York.

Publisher

Kluwer Academic Publishers

United States

Publication History

Published: 01 November 2015

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Cited By

Melman AEvsutin O(2024)Methods for countering attacks on image watermarking schemesJournal of Visual Communication and Image Representation10.1016/j.jvcir.2024.10407399:COnline publication date: 1-Mar-2024
https://dl.acm.org/doi/10.1016/j.jvcir.2024.104073
Pal PJana BBhaumik J(2021)An Image Authentication and Tampered Detection Scheme Exploiting Local Binary Pattern Along with Hamming Error Correcting CodeWireless Personal Communications: An International Journal10.1007/s11277-021-08666-y121:1(939-961)Online publication date: 1-Nov-2021
https://dl.acm.org/doi/10.1007/s11277-021-08666-y

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