Image Steganography: A Review of the Recent Advances
<p dir="ltr">Image Steganography is the process of hiding information which can be text, image or video inside a cover image. The secret information is hidden in a way that it not visible to the human eyes. Deep learning technology, which has emerged as a powerful tool in various app...
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2021
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| _version_ | 1864513560445452288 |
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| author | Nandhini Subramanian (16896453) |
| author2 | Omar Elharrouss (14150784) Somaya Al-Maadeed (5178131) Ahmed Bouridane (2270131) |
| author2_role | author author author |
| author_facet | Nandhini Subramanian (16896453) Omar Elharrouss (14150784) Somaya Al-Maadeed (5178131) Ahmed Bouridane (2270131) |
| author_role | author |
| dc.creator.none.fl_str_mv | Nandhini Subramanian (16896453) Omar Elharrouss (14150784) Somaya Al-Maadeed (5178131) Ahmed Bouridane (2270131) |
| dc.date.none.fl_str_mv | 2021-01-25T00:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1109/access.2021.3053998 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Image_Steganography_A_Review_of_the_Recent_Advances/24049335 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Information and computing sciences Artificial intelligence Computer vision and multimedia computation Cybersecurity and privacy Data management and data science Graphics, augmented reality and games Deep learning Media Ciphers Tools Market research Image color analysis Image steganography GAN steganography CNN steganography Information hiding Image data hiding |
| dc.title.none.fl_str_mv | Image Steganography: A Review of the Recent Advances |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">Image Steganography is the process of hiding information which can be text, image or video inside a cover image. The secret information is hidden in a way that it not visible to the human eyes. Deep learning technology, which has emerged as a powerful tool in various applications including image steganography, has received increased attention recently. The main goal of this paper is to explore and discuss various deep learning methods available in image steganography field. Deep learning techniques used for image steganography can be broadly divided into three categories - traditional methods, Convolutional Neural Network-based and General Adversarial Network-based methods. Along with the methodology, an elaborate summary on the datasets used, experimental set-ups considered and the evaluation metrics commonly used are described in this paper. A table summarizing all the details are also provided for easy reference. This paper aims to help the fellow researchers by compiling the current trends, challenges and some future direction in this field.</p><h2>Other Information</h2><p dir="ltr">Published in: IEEE Access<br>License: <a href="https://creativecommons.org/licenses/by/4.0/legalcode" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/access.2021.3053998" target="_blank">https://dx.doi.org/10.1109/access.2021.3053998</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_e33a6e18092db67936043d82a4bb9aec |
| identifier_str_mv | 10.1109/access.2021.3053998 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/24049335 |
| publishDate | 2021 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Image Steganography: A Review of the Recent AdvancesNandhini Subramanian (16896453)Omar Elharrouss (14150784)Somaya Al-Maadeed (5178131)Ahmed Bouridane (2270131)Information and computing sciencesArtificial intelligenceComputer vision and multimedia computationCybersecurity and privacyData management and data scienceGraphics, augmented reality and gamesDeep learningMediaCiphersToolsMarket researchImage color analysisImage steganographyGAN steganographyCNN steganographyInformation hidingImage data hiding<p dir="ltr">Image Steganography is the process of hiding information which can be text, image or video inside a cover image. The secret information is hidden in a way that it not visible to the human eyes. Deep learning technology, which has emerged as a powerful tool in various applications including image steganography, has received increased attention recently. The main goal of this paper is to explore and discuss various deep learning methods available in image steganography field. Deep learning techniques used for image steganography can be broadly divided into three categories - traditional methods, Convolutional Neural Network-based and General Adversarial Network-based methods. Along with the methodology, an elaborate summary on the datasets used, experimental set-ups considered and the evaluation metrics commonly used are described in this paper. A table summarizing all the details are also provided for easy reference. This paper aims to help the fellow researchers by compiling the current trends, challenges and some future direction in this field.</p><h2>Other Information</h2><p dir="ltr">Published in: IEEE Access<br>License: <a href="https://creativecommons.org/licenses/by/4.0/legalcode" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/access.2021.3053998" target="_blank">https://dx.doi.org/10.1109/access.2021.3053998</a></p>2021-01-25T00:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1109/access.2021.3053998https://figshare.com/articles/journal_contribution/Image_Steganography_A_Review_of_the_Recent_Advances/24049335CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/240493352021-01-25T00:00:00Z |
| spellingShingle | Image Steganography: A Review of the Recent Advances Nandhini Subramanian (16896453) Information and computing sciences Artificial intelligence Computer vision and multimedia computation Cybersecurity and privacy Data management and data science Graphics, augmented reality and games Deep learning Media Ciphers Tools Market research Image color analysis Image steganography GAN steganography CNN steganography Information hiding Image data hiding |
| status_str | publishedVersion |
| title | Image Steganography: A Review of the Recent Advances |
| title_full | Image Steganography: A Review of the Recent Advances |
| title_fullStr | Image Steganography: A Review of the Recent Advances |
| title_full_unstemmed | Image Steganography: A Review of the Recent Advances |
| title_short | Image Steganography: A Review of the Recent Advances |
| title_sort | Image Steganography: A Review of the Recent Advances |
| topic | Information and computing sciences Artificial intelligence Computer vision and multimedia computation Cybersecurity and privacy Data management and data science Graphics, augmented reality and games Deep learning Media Ciphers Tools Market research Image color analysis Image steganography GAN steganography CNN steganography Information hiding Image data hiding |