期刊文献+

双份分形码与自适应TV模型的图像恢复

Image recovery based on double fractal codes and adaptive TV model
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摘要 为了既能让被篡改图像的结构信息得到恢复,又能让图像的细节部分得到很好的修复,提出了一种基于双份分形码解码与自适应TV算法相结合的迭代图像修复方法。该方法结合了自适应TV算法的梯度修复特性,利用原图的两种不同分形码进行迭代解码,从而实现对篡改图像结构和细节部分的修复。实验结果表明,算法对图像的结构和细节修复上都具有较好的效果。 In order to restore the structure and the detail of the tampered image,an effective scheme is proposed to use the double fractal codes and the adaptive TV model for image recovery.In this paper,it can be iteratively used the fractal decoding of the two different image fractal codes and the adaptive TV model to restore the structure and the detail of the tampered regions.Experimental results show that this method has good restore result in both structure and detail recovery.
出处 《计算机工程与应用》 CSCD 2012年第3期179-181,共3页 Computer Engineering and Applications
基金 国家自然科学基金(No.61073116 61003038) 安徽省高校自然科学研究重点项目(No.KJ2010A006) 安徽大学优秀青年科学研究基金(No.02303305)
关键词 分形编码 迭代解码 自适应TV算法 图像修复 fractal image coding iterative decoding adaptive TV model image recovery
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参考文献11

  • 1Yang C W, Shen J J.Recover the tampered image based on VQ indexing[J].Signal Processing,2010,90(l ) :331-343.
  • 2Wu W C H.Image vector quantization code indices imrecovery using lagrange interpolation[J].Image and Vision Computing,2008, 26(8) : 1171-1177.
  • 3Lin P L, Huang P W, Peng A W.A fragile watermarking scheme for image authentication with localization and recovery[C]//Inter- national Symposium on Multimedia Software Engineering, Miami, Florida, 2004.
  • 4Lin P L, Hsieh C,Huang P,A hierarchical digital watermarking method for image tamper detection and recovery[J].Pattem Rec- ognition, 2005,38 (12) : 2519-2529.
  • 5Wang S S, Tsai S L.Automatic image auth-entication and recov- ery using fi'actal code embedding and image inpainting[J].Pattern Recognition, 2008,41 ( 2 ) : 70 1-712.
  • 6邵肖伟,刘政凯,宋璧.一种基于TV模型的自适应图像修复方法[J].电路与系统学报,2004,9(2):113-117. 被引量:52
  • 7He Chuanjiang, Huang Xiyue.Study on algrithms for fractal im- age coding technology[D].Chongqing:Chongqing University,2004.
  • 8Jacquin A E.Image coding based on a fractal theory of iterated contractive image transformations[J].IEEE Transactions on Image Process, 1992,1 ( 1 ) : 18-30.
  • 9徐庆,刘弘,吴晓燕.基于2-范数匹配的分形图像编码改进算法[J].计算机工程,2010,36(4):205-206. 被引量:9
  • 10Wong P W,Memon N.Secret and public key image watermark- ing schemes for image authent-ication and ownership verifica- tion[J].IEEE Trans Image Process,2001,10(10):1593-1601.

二级参考文献12

  • 1何传江,李高平.分形图像编码的改进算法[J].计算机仿真,2004,21(8):62-65. 被引量:16
  • 2林洪文,杨绍清,夏志军,康春玉.基于分形图像编码的海空目标检测方法研究[J].计算机工程,2007,33(11):199-200. 被引量:1
  • 3Barnsley M F, Sloan A D. A Better Way to Compress Images[J]. Byte Magazine, 1988, 13(1): 215-223.
  • 4Jacquin A E. A Fractal Theory of Iterated Markov Operators with Applications to Digital Image Coding[D]. Atlanta, GA, USA:Georgia Institute of Technology, 1989.
  • 5Jacquin A E. Image Coding Based on a Fractal Theory of Iterated Contractive Image Transformations[J]. IEEE Transactions on Image Processing, 1992, 1(1): 18-30.
  • 6Hartenstein H, Saupe D. Lossless Acceleration of Fractal Image Encoding via the Fast Fourier Transform[J]. Signal Processing: Image Communication, 2000, 16(4): 383-394.
  • 7[1]Chan T, Shen F. Mathematical Models for Local Non-texture Inpaintings [J]. SIAM Journal on Applied Mathematics, 2002, 62: 1019-1043.
  • 8[2]Bertalmio M, et al. Image Inpainting [A]. SIGGRAPH [C]. 2000, 1: 417-424.
  • 9[3]Criminisi A, Perez P, Toyama K. Object Removal by Exemplar-Based Inpainting [J]. IEEE Proc. CVPR, 2003, 2: 721-728.
  • 10[4]Masnou S. Disocclusion: A Variational Approach Using Level Lines [J]. IEEE Trans. Image Processing, 2002, 11: 68-76.

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