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Author:

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

Indexed by:

EI Scopus

Abstract:

Super-resolution image reconstruction technique is to restore a high-resolution and high-quality image from multiple degraded low-resolution observations. The POCS method for super-resolution image reconstruction attracts many researchers' attention. This paper proposes to reduce the amount of Gibbs artifacts present on the edges of the high-resolution image estimate obtained by the POCS method. The proposed method weights the blur PSF centered at an edge pixel with an exponential function, so that the modified PSF coefficients decrease in the direction orthogonal to the edge. Experimental results show that the modification effectively reduces the visibility of the artifacts on the edges and obviously improves the quality of the high-resolution reconstructed image. © 2006 IEEE.

Keyword:

Image reconstruction Edge detection Image resolution Parameter estimation Function evaluation Image quality

Author Community:

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

Year: 2006

Volume: 2

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 9

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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