Hybrid fusion and interpolation algorithm with near-infrared image

  • Xiaoyan Luo*
  • , Jun Zhang
  • , Qionghai Dai
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

Silicon-based digital cameras can record visible and near-infrared (NIR) information, in which the full color visible image (RGB) must be restored from color filter array (CFA) interpolation. In this paper, we propose a unified framework for CFA interpolation and visible/NIR image combination. To obtain a high quality color image, the traditional color interpolation from raw CFA data is improved at each pixel, which is constrained by the corresponding monochromatic NIR image in gradient difference. The experiments indicate the effectiveness of this 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 to treating interpolation and fusion separately.

Original languageEnglish
Pages (from-to)375-382
Number of pages8
JournalFrontiers of Computer Science
Volume9
Issue number3
DOIs
Publication statusPublished - 28 Jun 2015
Externally publishedYes

Keywords

  • color filter array (CFA)
  • demosaicing
  • image fusion
  • interpolation

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