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首页> 外文期刊>Signal processing >Adaptive self-recovery for tampered images based on VQ indexing and inpainting
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Adaptive self-recovery for tampered images based on VQ indexing and inpainting

机译：基于VQ索引和修复的篡改图像自适应自我恢复

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摘要

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.
机译：在本文中，我们提出了一种使用矢量量化（VQ）索引和图像修复的篡改图像新的自恢复方案。封面图像块根据分布特征分为复杂块和平滑块。由于VQ压缩表示的良好性能和图像修复的自动修复能力，每个封面块的恢复位都是由其VQ索引和修复指示符生成的。恢复位和身份验证位嵌入到封面图像的LSB平面中以生成加水印的图像。在接收器端，在对所有篡改块进行定位之后，提取的恢复位将用于判断每个篡改块的分类。通过分析VQ指标的有效性和邻近区域的损坏程度，可以利用自适应恢复机制通过使用VQ指标和图像修复来恢复所有被篡改的块。实验结果证明了该方案的有效性。

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  • 来源
    《Signal processing》 |2013年第4期|933-946|共14页
  • 作者

    Chuan Qin; Chin-Chen Chang; Kuo-Nan Chen;

  • 作者单位

    School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China,Department of Information Engineering and Computer Science, Feng Chia University, 100 Wenhwa Road, Taichung 40724, Taiwan;

    Department of Information Engineering and Computer Science, Feng Chia University, 100 Wenhwa Road, Taichung 40724, Taiwan,Department of Computer Science and Information Engineering, Asia University, Taichung 41354, Taiwan;

    Department of Computer Science and Information Engineering, National Chung Cheng University, Chiayi 62102, Taiwan;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    image recovery; fragile watermarking; vector quantization; image inpainting;

    机译：图像恢复;脆弱的水印;矢量量化图像修补;

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