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Image Restoration Using Knowledge from the Image

  • S. Padmavathi
  • K. P. Soman
  • R. Aarthi
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 177)

Abstract

There are various real world situations where, a portion of the image is lost or damaged which needs an image restoration. A Prior knowledge of the image may not be available for restoring the image, which demands for a knowledge derivation from the image itself. Restoring the lost portions of the image based on the knowledge obtained from the image area surrounding the lost area is called as Digital Image Inpainting. The information content in the lost area could contain structural information like edges or textural information like repeating patterns. This knowledge is derived from the boundary area surrounding the lost area. Based on this, the lost area is restored by looking at similar information in the same image. Experimentation have been done on various images and observed that the algorithm restores the image in a visually plausible way.

Keywords

Source Region Patch Size Data Term Texture Synthesis Boundary Pixel 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Amrita School of EngineeringCoimbatoreIndia

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