Open AccessSpectral imaging using compressive sensing‐based single‐pixel modality
Author(s) -
Majumder S.,
Gupta S.,
Dubey S.
Publication year - 2020
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
eISSN - 1350-911X
pISSN - 0013-5194
DOI - 10.1049/el.2020.0757
Subject(s) - compressed sensing , spectral imaging , computer science , data acquisition , pixel , artificial intelligence , computer vision , explosive material , hyperspectral imaging , modality (human–computer interaction) , full spectral imaging , spectral signature , identification (biology) , image quality , remote sensing , image (mathematics) , geology , chemistry , botany , organic chemistry , biology , operating system
Spectral imaging technique plays a very vital role in the field of chemical detection and identification. Conventional spectroscopic imaging techniques suffer from massive acquisition time. This limitation sometimes restricts it from many practical applications. The acquisition of a full spectral image requires huge acquisition time. In this Letter, a compressive sensing‐based single‐pixel camera architecture has been realised to acquire spectral images that can be used for non‐destructive testing and classification of explosive materials. The compressive measurements for all the spectral images are done simultaneously thus reducing the acquisition time significantly. The spectro‐spatial images were reconstructed using the basis pursuit algorithm and compared with least square solutions, which resulted in fast acquisition and improved image quality. The maximum compression rate achieved was 95.84%.