Open AccessHigh resolution snapshot imaging spectrometer using a fusion algorithm based on grouping principal component analysis
Author(s) -
Shuaishuai Zhu,
Yu Zhang,
Jie Lin,
Liangyu Zhao,
Yanmei Shen,
Peng Jin
Publication year - 2016
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.24.024624
Subject(s) - imaging spectrometer , image resolution , principal component analysis , snapshot (computer storage) , computer science , pixel , spectral imaging , spectrometer , panchromatic film , full spectral imaging , optics , image fusion , hyperspectral imaging , spectral resolution , algorithm , graphics processing unit , artificial intelligence , physics , image (mathematics) , spectral line , astronomy , operating system
We reported a high resolution snapshot imaging spectrometer (HR-SIS) and a fusion algorithm based on the properties of the HR-SIS. The system consists of an imaging branch and a spectral branch. The imaging branch captures a high spatial resolution panchromatic image with 680 × 680 pixels, while the spectral branch acquires a low spatial resolution spectral image with spectral resolution of 250 cm -1 . By using a fusion algorithm base on grouping principal component analysis, the spectral image is highly improved in spatial resolution. Experimental results demonstrated that the performance of the proposed algorithm is competitive with other state-of-the-art algorithms. The computing time for a single frame is less than 1 min with an Intel Core i5-4200H CPU, which can be further reduced by utilizing a graphics processing unit (GPU).