Hybrid fusion and demosaicing algorithm with near-infrared image

X. Y. Luo, J. Zhang, Q. H. Dai

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

4 Citations (Scopus)

Abstract

In this paper, we propose a unified framework for color filter array (CFA) interpolation and visible/NIR image combination. The proposed method aims to reconstruct a high quality image from raw CFA data and the corresponding NIR image, similar to a multi-spectral fusion of color and NIR images. Based on NIR image, we impose a sparse constraint of gradient difference to modify the traditional color interpolation. The experiments indicate the effectiveness of our hybrid scheme to acquire joint color and NIR information in real-time, and show that this hybrid process can generate a better color image when compared with treating interpolation and fusion separately.

Original languageEnglish
Title of host publicationMultisensor, Multisource Information Fusion
Subtitle of host publicationArchitectures, Algorithms, and Applications 2014
PublisherSPIE
ISBN (Print)9781628410587
DOIs
Publication statusPublished - 2014
Externally publishedYes
EventMultisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2014 - Baltimore, MD, United States
Duration: 6 May 20147 May 2014

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume9121
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceMultisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2014
Country/TerritoryUnited States
CityBaltimore, MD
Period6/05/147/05/14

Keywords

  • Color filter array
  • Demosaicing
  • Hybrid interpolation
  • Image fusion

Fingerprint

Dive into the research topics of 'Hybrid fusion and demosaicing algorithm with near-infrared image'. Together they form a unique fingerprint.

Cite this