ICISP 2016: Image and Signal Processing pp 157-166 | Cite as

Demosaicking Method for Multispectral Images Based on Spatial Gradient and Inter-channel Correlation

  • Shu Ogawa
  • Kazuma Shinoda
  • Madoka Hasegawa
  • Shigeo Kato
  • Masahiro Ishikawa
  • Hideki Komagata
  • Naoki Kobayashi
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9680)

Abstract

Multispectral images have been studied in various fields such as remote sensing and sugar content prediction in fruits. One of the systems that captures multispectral images uses a multispectral filter array based on a color filter array. In this system, demosaicking processing is required because the captured multispectral images are mosaicked. However, demosaicking is more difficult for multispectral images than for RGB images owing to the low density between the observed pixels in multispectral images. Therefore, we propose a demosaicking method for multispectral images based on spatial gradient and inter-channel correlation. Experimental results demonstrate that our proposed method outperforms the existing methods and is effective.

Keywords

Demosaicking Multispectral filter array Interpolation Inter-channel correlation Spatial gradient 

Notes

Acknowledgement

This work was supported by JSPS KAKENHI Grant Number 15K20899. We would like to thank Masahiro Yamaguchi at the Tokyo Institute of Technology for providing the test images used in our experiments.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Shu Ogawa
    • 1
  • Kazuma Shinoda
    • 1
  • Madoka Hasegawa
    • 1
  • Shigeo Kato
    • 1
  • Masahiro Ishikawa
    • 2
  • Hideki Komagata
    • 2
  • Naoki Kobayashi
    • 2
  1. 1.Graduate School of EngineeringUtsunomiya UniversityUtsunomiyaJapan
  2. 2.Faculty of Health and Medical CareSaitama Medical UniversityHidakaJapan

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