{"updated":"2025-01-19T10:13:14.536949+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00233079","sets":["1164:4088:11480:11520"]},"path":["11520"],"owner":"44499","recid":"233079","title":["リアル画像ノイズ除去による画像ステガノグラフィとその検出"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-03-05"},"_buckets":{"deposit":"5dc8713a-c3bd-42b2-a309-908a221e1fe5"},"_deposit":{"id":"233079","pid":{"type":"depid","value":"233079","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"リアル画像ノイズ除去による画像ステガノグラフィとその検出","author_link":["632308","632310","632309","632307"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"リアル画像ノイズ除去による画像ステガノグラフィとその検出"},{"subitem_title":"A Steganalysis of Image Steganography using Real Image Denoising","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"SITE-D","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2024-03-05","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"千葉工業大学大学院先進工学研究科"},{"subitem_text_value":"千葉工業大学大学院先進工学研究科"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Graduate School of Advanced Engineering, Chiba Institute of Technology","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Advanced Engineering, Chiba Institute of Technology","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/233079/files/IPSJ-IOT24064059.pdf","label":"IPSJ-IOT24064059.pdf"},"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-IOT24064059.pdf","filesize":[{"value":"2.1 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"43"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_login","version_id":"25dc8d6c-f02f-4a99-ab50-52f7cafbadf3","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Institute of Electronics, Information and Communication Engineers This SIG report is only available to those in membership of the SIG."}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"渡久地, 伸之介"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"宮田, 高道"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Shinnosuke, Toguchi","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Takamichi, Miyata","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA12326962","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-8787","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"画像ステガノグラフィとは，画像内に秘匿メッセージを埋め込む技術である．既存手法のひとつである SteganoGAN は，深層学習を用いて原画像と似せるような秘匿メッセージの埋め込みを行う手法であるが，実際の画像には撮像過程で生じるリアル画像ノイズが含まれているため，事前にこのようなノイズを明示的に除去することで性能が向上する可能性がある．本研究では，前処理として既存のリアル画像ノイズ除去手法を用いることと， SteganoGAN の損失関数を変更することを組み合わせたリアル画像ノイズ考慮型の画像ステガノグラフィ手法を提案する．実験結果より，提案手法では品質と埋め込み量のトレードオフを改善し，既存手法と比較して同程度の PSNR で 1 画素あたりに埋め込めるビット量が向上することが示された．また，提案手法は検出器耐性の評価でも従来手法より高い耐性を示した．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"Image steganography is a technique for embedding secret messages in images. SteganoGAN, one of the previous methods, uses generative adversarial networks and achieves high payload when the input is a noise-free image. However, real images contain real image noise (RIN) generated during the image acquisition process, which can degrade the performance of SteganoGAN. We propose a RIN-aware image steganography that uses a real image denoising method as preprocessing and modifies the loss function of SteganoGAN. These modifications encourage the proposed method to embed a secret message that simulates RIN into a pseudo-noise-free image obtained by denoising. Experimental results show that the proposed method improves the trade-off between image quality and payload compared to the previous method. The proposed method also showed higher tolerance than conventional methods in the evaluation of detector tolerance.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"8","bibliographic_titles":[{"bibliographic_title":"研究報告インターネットと運用技術（IOT）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2024-03-05","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"59","bibliographicVolumeNumber":"2024-IOT-64"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"created":"2025-01-19T01:34:18.749010+00:00","id":233079,"links":{}}