Carrier-independent deep optical watermarking algorithm

With the development of multimedia techniques, the demand for copyright protection of digital products has also gradually risen.Digital watermarking is an effective means to protect the copyright of digital products.It is generally made by adding important identification information (i.e., digital w...

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Main Authors: Hao CHEN, Feng WANG, Weiming ZHANG, Nenghai YU
Format: Article
Language:English
Published: POSTS&TELECOM PRESS Co., LTD 2022-08-01
Series:网络与信息安全学报
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Online Access:http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2022056
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author Hao CHEN
Feng WANG
Weiming ZHANG
Nenghai YU
author_facet Hao CHEN
Feng WANG
Weiming ZHANG
Nenghai YU
author_sort Hao CHEN
collection DOAJ
description With the development of multimedia techniques, the demand for copyright protection of digital products has also gradually risen.Digital watermarking is an effective means to protect the copyright of digital products.It is generally made by adding important identification information (i.e., digital watermark) to a digital carrier (e.g., text, image, etc.), so that the carrier carries the identification information but does not affect the normal use of the carrier.The common digital watermark embedding scheme is to embed the watermark information by modifying the carrier via specific algorithms.In the actual application scenarios, there are many images or objects to be protected (such as art paintings, etc.) that are not allowed to be modified.Based on this background, a new carrier-independent deep optical watermarking algorithm was proposed, which can realize watermark information embedding without modifying the original carrier and achieve the purpose of copyright protection.Specifically, a new watermark template expression scheme at the embedding end was proposed, which expressed the watermark information by visible light modulation.By analyzing the visual system of human eyes, a watermark template pattern based on alternating projection was proposed to embed the watermark information, which made the embedding process neither require modification of the original carrier nor affect the visual senses of human eyes.At the extraction end, a watermark extraction network based on residual connection was designed, and the captured watermarked images were fed into this network after perspective transformation to extract the watermark information.The experiments were conducted under various conditions and comparisons with three baseline algorithms were made.The experimental results show that the proposed algorithm generates watermarked images with less visual distortion and is robust to the "projecting-shooting" process.The watermark extraction network has high accuracy in extracting watermark information at different distances, angles and illumination conditions, and has certain advantages over other general networks.
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institution Kabale University
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series 网络与信息安全学报
spelling doaj-art-001173917db94fd5baa3baa925c8d4dd2025-01-15T03:15:55ZengPOSTS&TELECOM PRESS Co., LTD网络与信息安全学报2096-109X2022-08-01811011859573378Carrier-independent deep optical watermarking algorithmHao CHENFeng WANGWeiming ZHANGNenghai YUWith the development of multimedia techniques, the demand for copyright protection of digital products has also gradually risen.Digital watermarking is an effective means to protect the copyright of digital products.It is generally made by adding important identification information (i.e., digital watermark) to a digital carrier (e.g., text, image, etc.), so that the carrier carries the identification information but does not affect the normal use of the carrier.The common digital watermark embedding scheme is to embed the watermark information by modifying the carrier via specific algorithms.In the actual application scenarios, there are many images or objects to be protected (such as art paintings, etc.) that are not allowed to be modified.Based on this background, a new carrier-independent deep optical watermarking algorithm was proposed, which can realize watermark information embedding without modifying the original carrier and achieve the purpose of copyright protection.Specifically, a new watermark template expression scheme at the embedding end was proposed, which expressed the watermark information by visible light modulation.By analyzing the visual system of human eyes, a watermark template pattern based on alternating projection was proposed to embed the watermark information, which made the embedding process neither require modification of the original carrier nor affect the visual senses of human eyes.At the extraction end, a watermark extraction network based on residual connection was designed, and the captured watermarked images were fed into this network after perspective transformation to extract the watermark information.The experiments were conducted under various conditions and comparisons with three baseline algorithms were made.The experimental results show that the proposed algorithm generates watermarked images with less visual distortion and is robust to the "projecting-shooting" process.The watermark extraction network has high accuracy in extracting watermark information at different distances, angles and illumination conditions, and has certain advantages over other general networks.http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2022056digital watermarkinghuman visual systemoptical watermarkingdeep neural network
spellingShingle Hao CHEN
Feng WANG
Weiming ZHANG
Nenghai YU
Carrier-independent deep optical watermarking algorithm
网络与信息安全学报
digital watermarking
human visual system
optical watermarking
deep neural network
title Carrier-independent deep optical watermarking algorithm
title_full Carrier-independent deep optical watermarking algorithm
title_fullStr Carrier-independent deep optical watermarking algorithm
title_full_unstemmed Carrier-independent deep optical watermarking algorithm
title_short Carrier-independent deep optical watermarking algorithm
title_sort carrier independent deep optical watermarking algorithm
topic digital watermarking
human visual system
optical watermarking
deep neural network
url http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2022056
work_keys_str_mv AT haochen carrierindependentdeepopticalwatermarkingalgorithm
AT fengwang carrierindependentdeepopticalwatermarkingalgorithm
AT weimingzhang carrierindependentdeepopticalwatermarkingalgorithm
AT nenghaiyu carrierindependentdeepopticalwatermarkingalgorithm