本論文參閱多功能浮水印技術於影像驗證與復原[10]的嵌入浮水印與還原 浮水印之技術，進而提出使用標準差的方式來計算出特徵浮水印的方法，並利用 還原區塊與嵌入區塊為對應關係，取得復原浮水印後，還原被攻擊過後的竄改影 像，為了提升還原數據以及影像品質，利用雙線性內插法來推測出影像無法復原 之大小為 2 2 的黑色區塊，經實驗結果與 He et al.[8]和 Wu [27]相比，在遭受不 同方位及大小的剪裁攻擊時，本論文提出的方法，不管竄改的位置及區域大小都 能準確定位出被竄改的區域且準確度比 He et al.[8]和 Wu [27]的方法更為精確，
且復原的影像品質都維持在 30 dB 以上並優於其他方法 5 dB，又在隨著破壞區域 逐漸變大的拼貼攻擊中，本論文提出的方法，雖無法精準辨識出被竄改的區域，
但在 Lake 影像中，遭到 300 300 的拼貼攻擊時，能維持在 30dB 以上，區塊誤 判的比例也較低，且復原影像的 PSNR 更優於 He et al.[8]和 Wu [27]的方法。
本論文利用標準差的方式來計算出驗證區塊是否被竄改且利用雙立方內插 法來推測出還原影像，在未來可利用中低頻與中高頻之水平和垂直特徵之觀念來 藏入版權浮水印，讓本論文提出的方法更加多功能性，且脆弱型浮水印也可以朝 著半脆弱型水印邁進，抵抗 JPEG 或 JPEG2000 壓縮…等等攻擊。
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