An improved multi-focus image fusion method based on wavelet transform

Gong Cheng, Lei Guo, Tian Yun Zhao

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

An improved multi-focus image fusion method based on wavelet transform is proposed. Firstly, multi-scale decomposition is performed on source images using wavelet transform to get high-frequency and low-frequency sub-images. And then, a method based on neighboring region variance weighted-average is applied to high-frequency sub-image to get the high-frequency fusion coefficient; and a method based on local region gradient information is applied to low-frequency sub-image to get the low-frequency fusion coefficient. Finally, the inverse wavelet transform is utilized to obtain fused image. The fused image by the proposed method is evaluated with some parameters such as root mean square error, peak signal noise rate and entropy, in comparison with traditional fusion methods. The experiment results show that the proposed method is effective on improving the effect and quality of fused image.

Original languageEnglish
Title of host publication2010 International Conference on E-Product E-Service and E-Entertainment, ICEEE2010
DOIs
StatePublished - 2010
Event2010 International Conference on E-Product E-Service and E-Entertainment, ICEEE2010 - Henan, China
Duration: 7 Nov 20109 Nov 2010

Publication series

Name2010 International Conference on E-Product E-Service and E-Entertainment, ICEEE2010

Conference

Conference2010 International Conference on E-Product E-Service and E-Entertainment, ICEEE2010
Country/TerritoryChina
CityHenan
Period7/11/109/11/10

Keywords

  • Gradient information
  • Image fusion
  • Multi-focus image
  • Neighboring region variance
  • Wavelet transform

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