書誌事項
- タイトル別名
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- Detecting Doctored JPEG Image Based on Block Noise Analysis and Double JPEG Analysis
- ブロックノイズ カイセキ ト Double JPEG カイセキ ニ モトズク アラタメザンJPEG ガゾウ ノ ケンシュツ
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説明
<p>Today we can take many pictures with smart phones or digital cameras, and can edit them easily by ourselves. These pictures are very useful not only for hobby, but for investigation. It is very important to check whether they are doctored or not. This paper proposes an automatic detection method of doctored JPEG images based on two different analyisis: the block noise analysis and the Double-JPEG analysis. Former can find unnatural boundaries of 8×8 DCT blocks while latter can find double saved images by other editing software. Finally SVM classifies images into doctored and undoctored groups based on the above analysis. Experimental results have shown that the detection accuracy of our method achieves 0.90 in terms of F-measure while J. He's method achieves 0.82.</p>
収録刊行物
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- 電気学会論文誌Ｃ（電子・情報・システム部門誌）
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電気学会論文誌Ｃ（電子・情報・システム部門誌） 137 (5), 742-749, 2017
一般社団法人 電気学会
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キーワード
詳細情報 詳細情報について
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- CRID
- 1390001204612171648
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- NII論文ID
- 130005631910
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- NII書誌ID
- AN10065950
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- ISSN
- 13488155
- 03854221
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- NDL書誌ID
- 028209298
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- 本文言語コード
- ja
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- 資料種別
- journal article
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- データソース種別
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- JaLC
- NDLサーチ
- Crossref
- CiNii Articles
- KAKEN
- OpenAIRE
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- 抄録ライセンスフラグ
- 使用不可
