Multispectral imaging has the capability to identify the state of objects based on their spectral characteristics. These are features not available with conventional color imaging based on metameric RGB (red, green and blue) colors alone. Current multispectral imaging systems use narrowband filters to capture the spectral content of a scene, which necessitates different filters to be designed and applied for each application. Previously, we demonstrated the concept of Fourier multispectral imaging using filters with sinusoidally varying transmittance [1, 2]. In this paper, we report to the design of a five channel, spatially multiplexed pixel filter array. This enables single-shot images and makes it possible to capture scenes containing moving objects.
Chuan Ni, Jie Jia, Keigo Hirakawa, and Andrew Sarangan, "Design and fabrication of Fourier spectral filter array for multispectral imaging," Proc. SPIE 9927, Nanoengineering: Fabrication, Properties, Optics, and Devices XIII, 99270W (Presented at SPIE Nanoscience + Engineering: August 31, 2016; Published: 26 September 2016); https://doi.org/10.1117/12.2238864.
Conference Presentations are recordings of oral presentations given at SPIE conferences and published as part of the proceedings. They include the speaker's narration with video of the slides and animations. Most include full-text papers. Interactive, searchable transcripts and closed captioning are now available for 2018 presentations, with transcripts for prior recordings added daily.
Search our growing collection of more than 16,000 conference presentations, including many plenaries and keynotes.