J-STAGE トップ  >  資料トップ  > 書誌事項

電気学会論文誌C(電子・情報・システム部門誌)
Vol. 137 (2017) No. 5 P 742-749

記事言語:

http://doi.org/10.1541/ieejeiss.137.742

<音声画像処理・認識>

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.

Copyright © 2017 電気学会

この記事を共有