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標題: 有效的自嵌入認證水印用於圖像竄改檢測與恢復
Effective Self-Embedding Authentication Watermarking for Image Tampered Detection and Recovery
作者: 陳昭如
Zhao-Ru Chen
關鍵字: 影像認證技術
Image authentication scheme
Tamper detection
Fragile watermarking method
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摘要: 近年來,隨著網際網路的發展快速,影像處理技術也蓬勃發展,現在在智慧型手機上也可以輕鬆修改影像。但是正因為如此,有心人士想要蓄意竄改影像的機會就會大幅增加。本研究提出了可自我回復的脆弱型浮水印影像認證法,並且分為基於區塊和基於像素的檢測法。在區塊檢測法中,從每個區塊中產生認證資訊以及利用區塊平均值來產生回復資訊,並且根據區塊大小的不同,來調整要認證資訊及回復資訊的數量。透過實驗結果可以發現,因為當檢測到被竄改像素時,則該像素所屬的區塊會整個被標記為被竄改區塊,因此若區塊劃分的較小,則檢測的誤判率FPR則會較小。而像素檢測法則當檢測到被竄改像素值時僅將該像素標記為被竄改,因此誤判率會比區塊檢測法來得少。與現有的方法相比,本方法在較高的竄改率下,仍可以有較好的竄改檢測及回復的性能。
In recent years, with the rapid development of the Internet as well as image processing technology, digital images on smart phones can be easily modified. Thus, criminal image modification has skyrocketed. In this paper, we propose an effective self-embedding authentication watermarking scheme for tampered image detection and recovery. The proposed method is classified into block-wise and pixel-wise detections. In block-wise detection, the authentication information and the recovery information are generated from each block and its mean value, respectively. According to the size of a block, the number of the authentication information and recovery information are adjusted. When the tampered pixel is detected, the corresponding block is marked; therefore, if the size of the block is small, the false positive rate (FPR) will be low. In pixel-wise detection, when the tampered pixel is detected, only the corresponding pixel area is marked. Therefore, the FPR will be lower than that the block-wise detection. The experimental results demonstrate that the proposed method is effective, and an accurate tamper detection and high-quality recovery can be realized even in highly tampered images.
文章公開時間: 2021-08-14
Appears in Collections:資訊管理學系



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