Perceptual Image Fusion Technique of RGB and NIR Images

Jaelin Lee, Gyoheak Oh, Byeungwoo Jeon

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

2 Scopus citations

Abstract

Image fusing techniques for visible-color (RGB) and near-infrared (NIR) images have been actively studied in last decades. Noting that the information obtained from the NIR images can improve the visibility of the RGB images, we propose an algorithm that fuses RGB image with NIR to improve the quality of RGB image based on perceptual information. We first decompose the RGB/NIR image into two parts, detail and base. Subsequently, we adjust each part by applying Just-noticeable difference (JND) profile computed by RGB image. The perceptual information quantified in terms of JND is utilized to preserve the original color characteristics by preventing saturation of image pixel values. Experimental results show that the proposed method provides better texture information and contrast adjustment than the conventional tone-mapped HDR images.

Original languageEnglish
Title of host publication34th International Technical Conference on Circuits/Systems, Computers and Communications, ITC-CSCC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728132716
DOIs
StatePublished - Jun 2019
Externally publishedYes
Event34th International Technical Conference on Circuits/Systems, Computers and Communications, ITC-CSCC 2019 - JeJu, Korea, Republic of
Duration: 23 Jun 201926 Jun 2019

Publication series

Name34th International Technical Conference on Circuits/Systems, Computers and Communications, ITC-CSCC 2019

Conference

Conference34th International Technical Conference on Circuits/Systems, Computers and Communications, ITC-CSCC 2019
Country/TerritoryKorea, Republic of
CityJeJu
Period23/06/1926/06/19

Keywords

  • contrast enhancement
  • image sharpening
  • just-noticeable difference
  • Perceptual information

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