基于極坐標(biāo)正弦變換的Copy-move篡改檢測(cè)
doi: 10.11999/JEIT190481 cstr: 32379.14.JEIT190481
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河北工業(yè)大學(xué)電子信息工程學(xué)院 天津 300401
Copy-move Forgeries Detection Based on Polar Sine Transform
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School of Electronic & Information Engineering, Hebei University of Technology, Tianjin 300401, China
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摘要:
該文使用極坐標(biāo)正弦變換(PST)特征對(duì)圖像進(jìn)行Copy-move篡改檢測(cè)，將待檢測(cè)圖像轉(zhuǎn)換成灰度圖并進(jìn)行PST特征提取，并采用改進(jìn)的快速近似最近鄰搜索算法PatchMatch對(duì)特征描述符進(jìn)行匹配，以克服匹配全局描述符帶來(lái)的處理時(shí)間較長(zhǎng)的缺點(diǎn)。實(shí)驗(yàn)分析表明，該文所提方法不僅對(duì)圖像的線性Copy-move篡改和旋轉(zhuǎn)干擾篡改有很好的效果，而且對(duì)噪聲和JPEG壓縮干擾篡改也具有一定的魯棒性。最后對(duì)綜合干擾篡改實(shí)驗(yàn)測(cè)試發(fā)現(xiàn)，在綜合篡改幅度較小的情況下，準(zhǔn)確率可以達(dá)到98.0%。
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關(guān)鍵詞:
- 圖像檢測(cè) /
- 圖像篡改 /
- 極坐標(biāo)正弦變換 /
- PatchMatch
Abstract:Polar Sine Transform (PST) is used to detect Copy-move forgeries in the paper, and the image to be detected is transformed into gray scale image and feature extraction is carried out by PST. Improved PatchMatch, a fast approximate nearest neighbor search algorithm, is used to match feature descriptors to overcome the problem of long time consuming caused by matching global descriptors. Experiments show that the proposed method is not only effective for linear Copy-move forgeries and rotation interference forgeries, but also robust to noise and JPEG compression interference forgeries. Finally, the experimental results of synthetic interference forgeries show that the accuracy can reach 98.0% when the synthetic forgeries range is small.
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Key words:
- Image detection /
- Image forgery /
- Polar Sine Transform (PST) /
- PatchMatch
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