A False Color Image Fusion Method Based on KFE and DUM-PCNN in NSST Domain

Feng Wang, Yongmei Cheng

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

The target information is not prominent in the process of night vision image fusion, color information display unnatural. A novle false color image fusion method based on the nonsubsampled shearlet transform (NSST) is proposed.Using Kirsh feature energy(KFE) and constructing the dual channel unit link memristive pulse coupled neural network (DUM-PCNN) design the new fusion scheme, completing the infrared (IR) and visible (VIS) image fusion in the NSST domain. The fused image, IR and VIS carried on the linea combination and it assiged the YUV color space, synthesis the false color image (FCI). Finally, Applied color space conversion technology to obtain the pseudo-color image. Experimental results based on different data sets show that the proposed the fusion method can obtain the prominent target information and present the similar to natural images color appearance.

Original languageEnglish
Pages (from-to)698-703
Number of pages6
JournalXibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University
Volume35
Issue number4
StatePublished - 1 Aug 2017

Keywords

  • Dual-channel unit-linking memristive pulse coupled neural networks
  • Film thinkness
  • Image fusion
  • Kirsch feature energy
  • Non-subsampled shearlet transform
  • Pixels

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