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A Hierarchical Approach for High-Quality and Fast Image Completion

  • Thanh Trung Dang
  • Azeddine Beghdadi
  • Mohamed-Chaker Larabi
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 244)

Abstract

Image inpainting is not only the art of restoring damaged images but also a powerful technique for image editing e.g. removing undesired objects, recomposing images, etc. Recently, it becomes an active research topic in image processing because of its challenging aspect and extensive use in various real-world applications. In this paper, we propose a novel efficient approach for high-quality and fast image restoration by combining a greedy strategy and a global optimization strategy based on a pyramidal representation of the image. The proposed approach is validated on different state-of-the-art images. Moreover, a comparative validation shows that the proposed approach outperforms the literature in addition to a very low complexity.

Keywords

Hierarchical Approach Greedy Strategy Image Editing Image Inpainting Active Research Topic 
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 International Publishing Switzerland 2014

Authors and Affiliations

  • Thanh Trung Dang
    • 1
  • Azeddine Beghdadi
    • 1
  • Mohamed-Chaker Larabi
    • 2
  1. 1.L2TI, Institut GaliléeUniversité Paris 13VilletaneuseFrance
  2. 2.XLIM, Dept. SICUniversité de PoitiersPoitiersFrance

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