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Fusion of multi-resolution visible image and infrared images based on guided filter

  • Beijing Institute of Technology
  • Beijing University of Posts and Telecommunications

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

Abstract

Because of the poor lighting conditions at night time, visible images are often fused with corresponding infrared images for enhancement of the scenes in night vision. In this paper, a novel image fusion algorithm is presented for fusion of visible image and infrared image with different resolutions. The multiresolution image fusion is carried on by the following five steps: 1) different resolution images are transformed into the same resolution by use of wavelet transform; 2) to enhance the visibility of dark region content in the decomposed visible image, a novel night-vision enhancement method is presented based on guided filter; 3) the infrared image information is injected into the visible image through a multi-scale fusion approach based on guided filter; 4) inverse wavelet transform is used to achieve the fusion image; 5) to further improve the visibility of the fusion image, it is enhanced by use of an adaptive enhancement method.

Original languageEnglish
Title of host publicationProceedings of the 37th Chinese Control Conference, CCC 2018
EditorsXin Chen, Qianchuan Zhao
PublisherIEEE Computer Society
Pages4449-4454
Number of pages6
ISBN (Electronic)9789881563941
DOIs
Publication statusPublished - 5 Oct 2018
Event37th Chinese Control Conference, CCC 2018 - Wuhan, China
Duration: 25 Jul 201827 Jul 2018

Publication series

NameChinese Control Conference, CCC
Volume2018-July
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference37th Chinese Control Conference, CCC 2018
Country/TerritoryChina
CityWuhan
Period25/07/1827/07/18

Keywords

  • Different Resolution
  • Guided Filter
  • Image Enhancement
  • Image Fusion

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