Multi-focus image fusion with half weighted gradient and self-similarity
CSTR:
Author:
Affiliation:

1. School of Automation, Northwestern Polytechnical University, Xi’an 710129, China;2. Center for Image and Information Processing, Xi'An University of Posts and Telecommunications, Xi'an 710061, China

  • Article
  • | |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • | | |
  • Comments
    Abstract:

    In order to get a satisfactory image fusion effect, getting a focus map is very necessary and usually difficult to finish. In this paper, we address this problem with a half weighted gradient approach, aiming to obtain a direct mapping between focus map and source images. Based on the advantages of multi-scale weighted gradient, while abandoning the shortcomings of weighted gradient, a new multi-focus image fusion method called half weighted gradient and self-similarity (HWGSS) is proposed. Experimental results validate that the proposed algorithm can obtain state-of-the-art fusion performance in terms of both qualitative and quantitative evaluations.

    Reference
    Related
    Cited by
Get Citation

DU Chao-ben, LIU Ying, andGAOShe-sheng. Multi-focus image fusion with half weighted gradient and self-similarity[J]. Optoelectronics Letters,2018,14(4):311-315

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:February 20,2018
  • Revised:April 07,2018
  • Online: July 26,2018
Article QR Code