A novel texture synthesis based algorithm for object removal in photographs

  • Authors:
  • Feng Tang;Yiting Ying;Jin Wang;Qunsheng Peng

  • Affiliations:
  • State Key Lab of CAD & CG, Zhejiang University, Hangzhou, P.R. China;State Key Lab of CAD & CG, Zhejiang University, Hangzhou, P.R. China;State Key Lab of CAD & CG, Zhejiang University, Hangzhou, P.R. China;State Key Lab of CAD & CG, Zhejiang University, Hangzhou, P.R. China

  • Venue:
  • ASIAN'04 Proceedings of the 9th Asian Computing Science conference on Advances in Computer Science: dedicated to Jean-Louis Lassez on the Occasion of His 5th Cycle Birthday
  • Year:
  • 2004

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Abstract

Natural images and photographs sometimes may contain stains or undesired objects covering significant portions of the images. Inpainting is a method to fill in such portions using the information from the remaining area of the image. In this paper, we propose a novel photograph editing framework that utilizes texture synthesis techniques. Major contributions of our algorithm are: 1) a constraint-based candidate patch searching method which limits the searching within neighboring region with similar texture; 2) a metric of Coherence Confidence for selecting the best fit candidate preventing error accumulation and propagation; 3) integration of graphcut optimization to make the seam visually invisible. Experiments show that our system can efficiently handle different cases especially large regions in complex background.