• Spectroscopy and Spectral Analysis
  • Vol. 41, Issue 1, 183 (2021)
Ding-rong YI1、1、*, Ling-hua KONG1、1, Yan-li ZHAO1、1, and Zi-han YANG1、1
Author Affiliations
  • 1[in Chinese]
  • 11. College of Mechanical Engineering and Automation, Huaqiao University, Xiamen 361021, China
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    DOI: 10.3964/j.issn.1000-0593(2021)01-0183-05 Cite this Article
    Ding-rong YI, Ling-hua KONG, Yan-li ZHAO, Zi-han YANG. Color Recovery Method for Snapshot Narrow Band Spectral Imaging Technology[J]. Spectroscopy and Spectral Analysis, 2021, 41(1): 183 Copy Citation Text show less

    Abstract

    Due to its simultaneous spectral and spatial resolutions, snapshot narrow-band spectral imaging (SNBSI) will have wide applications in remote sensing of natural resources, accurate agriculture, and medical diagnosis. However, due to its usage of narrow bands to improve spectral resolution and to enhance contrast, gray images instead of colorful ones produced by SNBSI are not idea for experts to identify, evaluate and appreciate. Existing color recovery methods primarily applicable to either wide-band spectral imaging or continuous spectral imaging wherein multiple bands together cover the full visible spectral region; however, they are not directly applicable to SNBSI. In this paper, we study color recovery method for SNBSI. Further we propose the concept of color camera via narrow-band multi-spectral imaging method. First, two color recovery methods were proposed, one was based on CIE three primary coordinate system; the other was modified Bayer-filter-array based color interpolation method. Then applied the two proposed methods to resurrect color informationfor three representative targets including a plant, a forearm, and a piece of cervical tissues captured by an SNBSI camera, then selected one of the two methods which resulted in higher values of mean, standard deviation, entropy, and gradient of the recovered images. Finally, the modified gray world chromatic aberration correction algorithm was applied to make the recovered images closer to the true color. Experimental results suggested that CIE-three primary based method was more suitable than the Bayer-filter-array based interpolation method for color recovery from SNBI spectral images. The recovered color images of a plant, a human forearm, and tissues by the CIE three primary based recovery method followed by the modified gray world chromatic correction algorithm were close to the true color and were satisfactory for human observation. This study introduces acolor recovery method which exploits few narrow-band spectral images that jointly cover about 30% of the visible spectral range. The existence of such a color recovery method proves that SNBSI is capable of having both spectral resolution and retain color information. Therefore, this paper proposes a method to realize snapshot narrow-band multi-spectral color imaging, which opens up a color restoration method different from the conventional RGB color camera.
    Ding-rong YI, Ling-hua KONG, Yan-li ZHAO, Zi-han YANG. Color Recovery Method for Snapshot Narrow Band Spectral Imaging Technology[J]. Spectroscopy and Spectral Analysis, 2021, 41(1): 183
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