|
|
|
|
|
|
Color Recovery Method for Snapshot Narrow Band Spectral Imaging Technology |
YI Ding-rong1, KONG Ling-hua2*, ZHAO Yan-li1, YANG Zi-han1 |
1. College of Mechanical Engineering and Automation, Huaqiao University, Xiamen 361021, China
2. School of Mechanical and Automotive Engineering and Digital Fujian Industrial Manufacturing IoT Lab, Fujian University of Technology, Fuzhou 350118, China |
|
|
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.
|
Received: 2019-03-26
Accepted: 2020-02-01
|
|
Corresponding Authors:
KONG Ling-hua
E-mail: klh@fjut.edu.cn
|
|
[1] Shen Y, Lei Y U, Jiexiang C. Acta Photonica Sinica,2018,47(8):822003.
[2] Ren D D W, Tripathi S. Journal of Applied Remote Sensing,2017,11:016006.
[3] Zapata F, Lópezlópez M, Amigo J M. Multi-Spectral Imaging for the Estimation of Shooting Distances,2018,282:80.
[4] Estelleslopez L,Ropodi A, Pavlidis, et al. Food Research International,2017,99(1):206.
[5] Valm A M,Cohen S, Legant W R, et al. Nature,2017,546:162.
[6] Yi Dingrong,Wang Chao,Qi Hairong. IEEE Transactions on Biomedical Engineering, 2011,58(3): 736.
[7] YI Ding-rong, KONG Ling-hua, LIU Ting(易定容,孔令华,刘 婷). Infrared and Laser Engineering(红外与激光工程),2017,46(7): 256.
[8] Zhang C M, Wu H, Li J. Optical Engineering,2011,50(6): 0600201.
[9] WANG Xin-quan, XIANGLI Bin, HUANG Min(王新全, 相里斌, 黄 旻). Journal of Optoelectronics·Laser(光电子·激光),2011,5(3):689.
[10] ZHANG Yu, ZHU Shuai-shuai, ZHAO Liang-yu(张 宇,朱帅帅,赵梁玉). Journal of Harbin Institute of Technology(哈尔滨工业大学学报),2017,49(3): 29.
[11] Kong L,Yi D, Sprigle S, et al. Journal of Biomedical Optics,2010,15(1): 502.
[12] HUANG Hong-lian, YI Wei-ning, DU Li-li(黄红莲,易维宁,杜丽丽). Infrared and Laser Engineering(红外与激光工程),2016,45(11): 354.
[13] LÜ Xiao-kai, LI Chuan-rong, MA Ling-ling(吕晓凯,李传荣,马灵玲). Remote Sensing Technology and Application(遥感技术与应用),2013,28(3): 467.
[14] HE Song-hua, LIU Zhen, CHEN Qiao(何颂华, 刘 真, 陈 桥). Acta Optical Sinica(光学学报),2014,34:325.
[15] WANG Jia-jia,LIAO Ning-fang, WU Wen-min, et al(王佳佳,廖宁放,吴文敏,等). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2017,37(3):704.
[16] XU Hui-xi, CHEN Yun-hao, XUE Wan-rong(许辉熙, 陈云浩, 薛万蓉). Laser and Optoelectronics Progress(激光与光电子学进展),2015,52(5): 77. |
|
|
|