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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/35832


    Title: 利用浮水印技術於影像破壞區域之偵測與修補
    Other Titles: The polluted image detection and inpainting using watermarking technique
    Authors: 陳建志;Chen, Chien-chih
    Contributors: 淡江大學電機工程學系碩士班
    謝景棠;Hsieh, Ching-tang
    Keywords: 小波轉換;浮水印;向量量化編碼;影像修補;Wavelet transform;Watermarking;Vector Quantization;Image inpainting
    Date: 2008
    Issue Date: 2010-01-11 07:12:53 (UTC+8)
    Abstract: 常見的影像修復技術,主要的瓶頸在於邊緣的修復。為了解決修補
    法在確定影像邊緣上的難題,還有修補時,提升正確性,本文提出一利
    用浮水印技術用於影像破壞區域之偵測與修補。
    我們將原圖之重要邊緣抽出,視為強健型浮水印,再嵌入於原圖做
    一階小波之後的1 LL 位置中,以作為修補比對之參考。本技術亦嵌入一易
    碎型浮水印,修復系統可藉由抽取易碎型浮水印,自動偵測待測影像之
    破壞區域,同時利用抽取出之強健型浮水印(重要邊緣),依照其重要邊
    緣紋理,進行階層式修補,包含區塊修補法及結構擴展法。但是同時嵌
    入兩個浮水印,又要提升嵌入之後的影像PSNR 值,是很困難的。所以
    我們利用小波轉換與VQ 結合,來減少需要嵌入的資料量。由實驗結果
    可證實,嵌入浮水印之後,測試影像仍然不易察覺的優點,受破壞之後,
    本技術可自動偵測破壞區域,並成功修補之。
    In image completion and inpainting technique,the key issue is edge
    restoration. In order to resolve the image inpainting problem in the object
    edge and to enhance the accuracy of the original image during repairing, we
    presents a multi-purpose watermarking technique to repair image
    automatically. We use the edge of the original image as the robust watermark
    and embed it into the lower frequency band as the reference for repairing
    defected area. We also embedde a fragile watermark into image. By
    extracting the fragile watermarking, the repair system can detect the defected
    area automatically.
    Meanwhile, we utilize the extracted robust watermarking, followed by
    the texture of object edge, to repair the image block and edge of image. It is
    difficult to insert two watermarks and to achieve high Peak Signal to Noise
    Ratio, so we use the Discrete Wavelet Transform and Vector Quantization
    techniques to minimize the embedded data. According to the experimental
    results, the embedded watermark is invisible in the test image. When the test
    image was attacked, this technology can detect the large defected area or
    complicated defected area and repair it automatically.
    Appears in Collections:[Graduate Institute & Department of Electrical Engineering] Thesis

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