Spectral image reconstruction by a tunable LED illumination

Meng Chieh Lin, Chen Wei Tsai, Chung-Hao Tien

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations


Spectral reflectance estimation of an object via low-dimensional snapshot requires both image acquisition and a post numerical estimation analysis. In this study, we set up a system incorporating a homemade cluster of LEDs with spectral modulation for scene illumination, and a multi-channel CCD to acquire multichannel images by means of fully digital process. Principal component analysis (PCA) and pseudo inverse transformation were used to reconstruct the spectral reflectance in a constrained training set, such as Munsell and Macbeth Color Checker. The average reflectance spectral RMS error from 34 patches of a standard color checker were 0.234. The purpose is to investigate the use of system in conjunction with the imaging analysis for industry or medical inspection in a fast and acceptable accuracy, where the approach was preliminary validated.

Original languageEnglish
Title of host publicationImaging Spectrometry XVIII
StatePublished - 2013
EventImaging Spectrometry XVIII - San Diego, CA, United States
Duration: 26 Aug 201327 Aug 2013

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X


ConferenceImaging Spectrometry XVIII
Country/TerritoryUnited States
CitySan Diego, CA


  • LED illumination
  • principal component analysis
  • spectral reconstruction


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