东南大学学报(自然科学版)
東南大學學報(自然科學版)
동남대학학보(자연과학판)
JOURNAL OF SOUTHEAST UNIVERSITY
2014年
6期
1116-1120
,共5页
欧阳军林%伍家松%Gouenou Coatrieux%邵珠宏%舒华忠
歐暘軍林%伍傢鬆%Gouenou Coatrieux%邵珠宏%舒華忠
구양군림%오가송%Gouenou Coatrieux%소주굉%서화충
篡改检测%复制%粘贴伪造%金字塔模型%图像取证
篡改檢測%複製%粘貼偽造%金字塔模型%圖像取證
찬개검측%복제%점첩위조%금자탑모형%도상취증
tampering detection%copy-move forgery%pyramid mode%image forensics
为了能够检测图像的复制缩放粘贴(CSM)篡改操作,提出了一种基于金字塔模型的CSM图像篡改检测方法。首先,将一幅测试图像缩放成不同尺度的降采样子图像,采用非均匀采样选择子图像,并建立金字塔篡改伪造检测模型;然后,对模型中每一层子图像进行非重叠分块,提取该模型所有图像子块的Zernike矩特征;最后,模型中每一层的所有块特征分别与底层特征建立KD树,以便于搜索图像块的所有近似匹配对,并从匹配对中寻找CSM篡改操作的伪造痕迹平移向量,以便于确定篡改区域。实验结果表明,与现有的图像篡改检测方法相比,所提方法获得了更好的检测结果,且篡改图像检测的查准率和查全率均超过93%。
為瞭能夠檢測圖像的複製縮放粘貼(CSM)篡改操作,提齣瞭一種基于金字塔模型的CSM圖像篡改檢測方法。首先,將一幅測試圖像縮放成不同呎度的降採樣子圖像,採用非均勻採樣選擇子圖像,併建立金字塔篡改偽造檢測模型;然後,對模型中每一層子圖像進行非重疊分塊,提取該模型所有圖像子塊的Zernike矩特徵;最後,模型中每一層的所有塊特徵分彆與底層特徵建立KD樹,以便于搜索圖像塊的所有近似匹配對,併從匹配對中尋找CSM篡改操作的偽造痕跡平移嚮量,以便于確定篡改區域。實驗結果錶明,與現有的圖像篡改檢測方法相比,所提方法穫得瞭更好的檢測結果,且篡改圖像檢測的查準率和查全率均超過93%。
위료능구검측도상적복제축방점첩(CSM)찬개조작,제출료일충기우금자탑모형적CSM도상찬개검측방법。수선,장일폭측시도상축방성불동척도적강채양자도상,채용비균균채양선택자도상,병건립금자탑찬개위조검측모형;연후,대모형중매일층자도상진행비중첩분괴,제취해모형소유도상자괴적Zernike구특정;최후,모형중매일층적소유괴특정분별여저층특정건립KD수,이편우수색도상괴적소유근사필배대,병종필배대중심조CSM찬개조작적위조흔적평이향량,이편우학정찬개구역。실험결과표명,여현유적도상찬개검측방법상비,소제방법획득료경호적검측결과,차찬개도상검측적사준솔화사전솔균초과93%。
In order to detect the image copy-scale-move (CSM)forgery,a CSM forgery detection method based on a pyramid model is proposed.First,a test image is rescaled into down sampling sub-images with different scale factors,which are used to build the pyramid model for forgery detec-tion according to non-uniform sampling.Then,each sub-image in the pyramid model is divided into non-overlapping sub-blocks.The Zernike moment features of all sub-block are extracted.Finally, the block features of each sub-image and those of the original image are used to build a KD-tree to search all approximate matching pairs,from which the forged trace shift vector can be found so as to determine the tampering region.The experimental results show that compared with the existing image tampering detection methods,the proposed method provides better detection results for large scaling attacks of region-duplication.The precision and recall of detection are more than 93%.