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RESEARCH PRODUCT
Snapshot Spectral Imaging
Valery A. ZheludevValery A. ZheludevPekka NeittaanmäkiAmir Averbuchsubject
medicine.medical_specialtybusiness.product_categoryComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONSpectral imagingSpline (mathematics)Compressed sensingWaveletmedicineSnapshot (computer storage)MinificationbusinessAlgorithmDigital cameradescription
This chapter describes an application of the spline-based wavelet frames to the spectral imaging. It presents a method that enables to convert a regular digital camera into a snapshot spectral imager by equipping the camera with a dispersive diffuser and with a compressed sensing-based algorithm for digital processing. The method relies on the assumption that typical images can be sparsely represented in the frame domain. The solution is found from the constrained \(l_{1}\) minimization of a functional by Bregman iterations. Results of optical experiments are reported. The chapter is based on the paper (Golub et al., Appl. Opt. 55, 432–443, (2016), [11]).
year | journal | country | edition | language |
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2018-06-20 |