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作者:

Xiao, Chuangbai (Xiao, Chuangbai.) | Yu, Jing (Yu, Jing.) | Su, Kaina (Su, Kaina.)

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摘要:

The topic of super-resolution image reconstruction has recently received considerable attention among the research community. Super-resolution image reconstruction methods attempt to create a single high-resolution image from a number of low-resolution images (or a video sequence). The method of projections onto convex sets (POCS) for super-resolution image reconstruction attracts many researchers' attention. In this paper, we propose an improvement to reduce the amount of Gibbs artifacts presenting on the edges of the high-resolution image reconstructed by the POCS method. The proposed method weights the blur PSF centered at an edge pixel with an exponential function, and consequently decreases the coefficients of the PSF in the direction orthogonal to the edge. Experiment results show that the modification reduces effectively the visibility of Gibbs artifacts on edges and improves obviously the quality of the reconstructed high-resolution image. © 2008 Higher Education Press.

关键词:

Edge detection Function evaluation Image reconstruction Image resolution Pixels

作者机构:

  • [ 1 ] [Xiao, Chuangbai]College of Computer Science and Technology, Beijing University of Technology, Beijing 100022, China
  • [ 2 ] [Yu, Jing]College of Computer Science and Technology, Beijing University of Technology, Beijing 100022, China
  • [ 3 ] [Su, Kaina]College of Computer Science and Technology, Beijing University of Technology, Beijing 100022, China

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来源 :

Frontiers of Computer Science in China

ISSN: 1673-7350

年份: 2008

期: 1

卷: 2

页码: 87-93

被引次数:

WoS核心集被引频次: 0

SCOPUS被引频次: 4

ESI高被引论文在榜: 0 展开所有

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