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

Content Provider	Springer Nature Link
Author	Phiasai, Tejtasin Temdee, Punnarumol Chamngthai, Kosin
Copyright Year	2015
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.
Starting Page	421
Ending Page	448
Page Count	28
File Format	PDF
ISSN	09296212
Journal	Wireless Personal Communications
Volume Number	85
Issue Number	2
e-ISSN	1572834X
Language	English
Publisher	Springer US
Publisher Date	2015-05-22
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Copyright Digital image watermarking Cropping attack Pixel prediction Weber ratio Communications Engineering, Networks Signal, Image and Speech Processing Computer Communication Networks
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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