Image Restoration Based on Scene Adaptive Patch In-painting for Tampered Natural Scenes

  • Ravi Subban
  • Subramanyam Muthukumar
  • P. Pasupathi
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 235)


Many Researchers proposed algorithms which restored damaged images. These methods cause textures broken while inpainting texture image with complex structure. Most of the existing inpainting techniques require knowing beforehand where those damaged pixels are, either given as a priori or detected by some preprocessing. However, in certain applications, such information is neither available nor can be reliably pre-detected, like noise from archived photographs. This paper propose a patch based adaptive inpainting model to solve these types of problems, i.e., a model of simultaneously identifying and recovering damaged pixels of the given image. The proposed inpainting method is applied to various challenging image restoration tasks, including recovering images that are blurry and damaged by scratches. The experimental result shows that it is effective in inpainting complex texture images.


Image Inpainting Image Decomposition Restoration Texture Segmentation Texture Synthesis Boundary Restoration Image Reconstruction Occlusion Removal 


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Ravi Subban
    • 1
  • Subramanyam Muthukumar
    • 2
  • P. Pasupathi
    • 3
  1. 1.Dept. of Computer SciencePondicherry UniversityPondicherryIndia
  2. 2.Dept. of Computer Sci. and Engg.National Institute of TechnologyPuducherryIndia
  3. 3.Centre for Information Tech. and Engg.M.S. UniversityTirunelveliIndia

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