Visible Light Spectrum Extraction from Diffraction Images by Deconvolution and the Cepstrum

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Pysyväisosoite

http://hdl.handle.net/10138/334410

Lähdeviite

Toivonen , M E , Talvitie , T , Rajani , C & Klami , A 2021 , ' Visible Light Spectrum Extraction from Diffraction Images by Deconvolution and the Cepstrum ' , Journal of Imaging , vol. 7 , no. 9 , 166 . https://doi.org/10.3390/jimaging7090166

Julkaisun nimi: Visible Light Spectrum Extraction from Diffraction Images by Deconvolution and the Cepstrum
Tekijä: Toivonen, Mikko Evert; Talvitie, Topi; Rajani, Chang; Klami, Arto
Tekijän organisaatio: Department of Computer Science
Helsinki Institute for Information Technology
Multi-source probabilistic inference research group / Arto Klami
Päiväys: 2021-09
Kieli: eng
Sivumäärä: 25
Kuuluu julkaisusarjaan: Journal of Imaging
ISSN: 2313-433X
DOI-tunniste: https://doi.org/10.3390/jimaging7090166
URI: http://hdl.handle.net/10138/334410
Tiivistelmä: Accurate color determination in variable lighting conditions is difficult and requires special devices. We considered the task of extracting the visible light spectrum using ordinary camera sensors, to facilitate low-cost color measurements using consumer equipment. The approach uses a diffractive element attached to a standard camera and a computational algorithm for forming the light spectrum from the resulting diffraction images. We present two machine learning algorithms for this task, based on alternative processing pipelines using deconvolution and cepstrum operations, respectively. The proposed methods were trained and evaluated on diffraction images collected using three cameras and three illuminants to demonstrate the generality of the approach, measuring the quality by comparing the recovered spectra against ground truth measurements collected using a hyperspectral camera. We show that the proposed methods are able to reconstruct the spectrum, and, consequently, the color, with fairly good accuracy in all conditions, but the exact accuracy depends on the specific camera and lighting conditions. The testing procedure followed in our experiments suggests a high degree of confidence in the generalizability of our results; the method works well even for a new illuminant not seen in the development phase.
Avainsanat: 113 Computer and information sciences
spectrum
spectrometer
cepstrum
deconvolution
diffraction imaging
Vertaisarvioitu: Kyllä
Pääsyrajoitteet: openAccess
Rinnakkaistallennettu versio: publishedVersion


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