Technical Section: Texture synthesis based on Direction Empirical Mode Decomposition

  • Authors:
  • Yan Zhang;Zhengxing Sun;Wenhui Li

  • Affiliations:
  • State Key Lab for Novel Software Technology, Nanjing University, Nanjing 210093, PR China;State Key Lab for Novel Software Technology, Nanjing University, Nanjing 210093, PR China;College of Computer Science and Technology, Jilin University, Changchun 130012, PR China

  • Venue:
  • Computers and Graphics
  • Year:
  • 2008

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Abstract

Texture synthesis is an essential aspect in virtual reality, making it an important research area in recent years. A new texture synthesis algorithm is proposed in this paper. Using the Direction Empirical Mode Decomposition (DEMD), the inherent direction of the sample textures is calculated and the samples are decomposed into a series of images. Based on the feature value in the direction, every level of the decomposed images is then compounded according to the pattern correlation searching. Composing all levels of decomposed images, a synthesized image corresponding to the direction can finally be generated. The experiments proved that this algorithm is simple, fast and high quality.