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    ASIA unversity > 資訊學院 > 資訊工程學系 > 期刊論文 >  Item 310904400/25351


    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/25351


    Title: Adaptive self-recovery for tampered images based on VQ indexing and inpainting
    Authors: Qin, Chuan;張真誠;Chang, Chin-Chen;Chen, Kuo-Nan
    Contributors: 資訊工程學系
    Keywords: Image recovery;Fragile watermarking;Vector quantization;Image inpainting
    Date: 2013-04
    Issue Date: 2013-07-11 14:18:36 (UTC+8)
    Abstract: In this paper, we propose a novel self-recovery scheme for tampered images using vector quantization (VQ) indexing and image inpainting. Cover image blocks are classified into complex blocks and smooth blocks according to the distribution characteristics. Due to the good performance of the compressed representation of VQ and the automatic repairing capability of image inpainting, the recovery-bits of each cover block are generated by its VQ index and the inpainting indicator. Recovery-bits and authentication-bits are embedded into the LSB planes of the cover image to produce the watermarked image. On the receiver side, after tampered blocks are all localized, the extracted recovery-bits are used to judge the classification of each tampered block. By analyzing the validity of the VQ indices and the damaged degree of the neighboring regions, the adaptive recovery mechanism can be utilized to restore all the tampered blocks by using VQ index and image inpainting. Experimental results demonstrate the effectiveness of the proposed scheme.
    Relation: SIGNAL PROCESSING, V.93 N.4:933–946.
    Appears in Collections:[資訊工程學系] 期刊論文

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