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Sparse spectral signal reconstruction for one proposed nine-band multispectral imaging system
Sun, Bangyong1,3; Zhao, Zhe1; Xie, Dehong2; Yuan, Nianzeng1; Yu, Zhe1; Chen, Fuwei1; Cao, Congjun1; de Dravo, Vincent Whannou1
作者部门光谱成像技术研究室
2020-07
发表期刊MECHANICAL SYSTEMS AND SIGNAL PROCESSING
ISSN0888-3270
卷号141
产权排序1
摘要

Multispectral filter array (MSFA) imaging with one single sensor is a portable and inexpensive means of acquiring spectral image which is widely used for object detection, material analysis and mechanical system diagnosis. The most challenging task for MSFA imaging is the multispectral demosaicking with the aim of reconstructing the captured raw/mosaic image, especially for the systems with many bands which result in higher sparseness of the raw data. In this paper, we present a 9-band MSFA imaging system in a repetitive 4 x 4 filter array on a single sensor, and propose a demosaicking algorithm for reconstructing the raw spectral image. Within the 4 x 4 MSFA pattern, the fifth spectral band takes up half of the total spatial position while the remaining eight bands occupy 1/16 respectively. To reconstruct the sparse raw data, we first recover the fifth band by propagating the neighboring sampled pixels to the unsampled position using the image gradients, and then employ the reconstructed fifth band as a guided image to demosaick the other bands with the guided filter and residual interpolation. Finally, we estimate the spectral reflectance values from the multispectral image and the characterization matrix. In the experiment, we evaluate the performance of the 9-band imaging system with the binary tree-based edge-sensing (BTES) algorithm, compressed sensing (CS) algorithm, and our proposed demosaicking algorithm. The experiment results demonstrate that our demosaicking algorithm not only outperforms BTES and CS algorithms in terms of objective image quality, e.g., PSNR values and spectral errors, but also reduces the demosaicking artifacts in terms of subjective evaluations. (C) 2020 Elsevier Ltd. All rights reserved.

关键词Multispectral imaging system Image demosaicking Guide filter Filter array
DOI10.1016/j.ymssp.2020.106627
收录类别SCI
语种英语
WOS记录号WOS:000529084500024
出版者ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
引用统计
被引频次:12[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.opt.ac.cn/handle/181661/93419
专题光谱成像技术研究室
作者单位1.Xian Univ Technol, Sch Printing Packaging & Digital Media, Xian, Peoples R China
2.Nanjing Forestry Univ, Coll Informat Sci & Technol, Nanjing, Peoples R China
3.Chinese Acad Sci, Xian Inst Opt & Precis Mech, Key Lab Spectral Imaging Technol CAS, Xian, Peoples R China
推荐引用方式
GB/T 7714
Sun, Bangyong,Zhao, Zhe,Xie, Dehong,et al. Sparse spectral signal reconstruction for one proposed nine-band multispectral imaging system[J]. MECHANICAL SYSTEMS AND SIGNAL PROCESSING,2020,141.
APA Sun, Bangyong.,Zhao, Zhe.,Xie, Dehong.,Yuan, Nianzeng.,Yu, Zhe.,...&de Dravo, Vincent Whannou.(2020).Sparse spectral signal reconstruction for one proposed nine-band multispectral imaging system.MECHANICAL SYSTEMS AND SIGNAL PROCESSING,141.
MLA Sun, Bangyong,et al."Sparse spectral signal reconstruction for one proposed nine-band multispectral imaging system".MECHANICAL SYSTEMS AND SIGNAL PROCESSING 141(2020).
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