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Author:

Li, Yan (Li, Yan.) | Yin, Baocai (Yin, Baocai.) (Scholars:尹宝才) | Kong, Dehui (Kong, Dehui.) (Scholars:孔德慧)

Indexed by:

EI Scopus

Abstract:

To avoid noticeable seams between texture patches and minimize the distortion of the pattern when tiling a texture on surfaces, several texture synthesis approaches have been proposed in the past few years, among which patch-based texture synthesis approaches have achieved better effect and higher speed compared with the point-based texture synthesis approaches. However, as a typical patch-based texture synthesis approach, Efros patch-based texture synthesis approach is still not real-time. With the help of 'texture consistency', this paper presents a novel approach for texture synthesis to match patch along a spiral path. The algorithm searches for new matching patch among the neighborhoods of the previous matched patch along a spiral path and continues this process in a recursive manner until the synthesizing image is fully filled. Compared with the Efros approach under the same condition of synthetic quality, the approach presented in this paper is 10 times faster on average. Experiments show that synthesizing results are quite satisfactory.

Keyword:

Image matching Textures Pattern matching Image quality Image analysis Algorithms Surfaces

Author Community:

  • [ 1 ] [Li, Yan]Key Laboratory of Multimedia and Intelligent Software, Beijing University of Technology, Beijing 100022, China
  • [ 2 ] [Li, Yan]Guangxi Jiaotong Vocational and Technical College, Nanning 530023, China
  • [ 3 ] [Yin, Baocai]Key Laboratory of Multimedia and Intelligent Software, Beijing University of Technology, Beijing 100022, China
  • [ 4 ] [Kong, Dehui]Key Laboratory of Multimedia and Intelligent Software, Beijing University of Technology, Beijing 100022, China

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Source :

Journal of Information and Computational Science

ISSN: 1548-7741

Year: 2007

Issue: 1

Volume: 4

Page: 107-113

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 24

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