Zerotree wavelet based image quilting for fast texture synthesis

  • Authors:
  • Dhammike S. Wickramanayake;Eran A. Edirisinghe;Helmut E. Bez

  • Affiliations:
  • Department of Computer Science, Loughborough University, UK;Department of Computer Science, Loughborough University, UK;Department of Computer Science, Loughborough University, UK

  • Venue:
  • IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part I
  • Year:
  • 2005

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Abstract

In this paper we propose a fast DWT based multi-resolution texture synthesis algorithm in which coefficient blocks of the spatio-frequeny components of the input texture are efficiently stitched together (quilted) to form the corresponding components of the synthesised output texture. We propose the use of an automatically generated threshold to determine the significant coefficients which acts as elements of a matching template used in the texture quilting process. We show that the use of a limited set of, visually significant coefficients, regardless of their level of resolution, not only reduces the computational cost, but also results in more realistic texture synthesis. We use popular test textures to compare our results with that of the existing state-or-the-art techniques. Many application scenarios of the proposed algorithm are also discussed.