Spectral Reflectance Recovery from the Quadcolor Camera Signals Using the Interpolation and Weighted Principal Component Analysis Methods Article Swipe

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Yu-Che Wen , Senfar Wen , Long Hsu , Sien Chi ·

YOU? · · 2022 · Open Access · · DOI: https://doi.org/10.3390/s22166288

The recovery of surface spectral reflectance using the quadcolor camera was numerically studied. Assume that the RGB channels of the quadcolor camera are the same as the Nikon D5100 tricolor camera. The spectral sensitivity of the fourth signal channel was tailored using a color filter. Munsell color chips were used as reflective surfaces. When the interpolation method or the weighted principal component analysis (wPCA) method is used to reconstruct spectra, using the quadcolor camera can effectively reduce the mean spectral error of the test samples compared to using the tricolor camera. Except for computation time, the interpolation method outperforms the wPCA method in spectrum reconstruction. A long-pass optical filter can be applied to the fourth channel for reducing the mean spectral error. A short-pass optical filter can be applied to the fourth channel for reducing the mean color difference, but the mean spectral error will be larger. Due to the small color difference, the quadcolor camera using an optimized short-pass filter may be suitable as an imaging colorimeter. It was found that an empirical design rule to keep the color difference small is to reduce the error in fitting the color-matching functions using the camera spectral sensitivity functions.

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Artificial Intelligence

Computer Vision

Principal Component Analysis

Electronic Engineering

Electrode

Quantum Mechanics

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Color difference RGB color model Artificial intelligence Color filter array Computer vision Filter (signal processing) Interpolation (computer graphics) Channel (broadcasting) Principal component analysis Mathematics Computer science Demosaicing Color gel Sensitivity (control systems) Optics Color image Image processing Physics Engineering Motion (physics) Image (mathematics) Thin-film transistor Electronic engineering Electrode Computer network Quantum mechanics

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Type: article
Language: en
Landing Page: https://doi.org/10.3390/s22166288
PDF: https://www.mdpi.com/1424-8220/22/16/6288/pdf?version=1661234041
OA Status: gold
Cited By: 5
References: 44
Related Works: 10
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DOI: https://doi.org/10.3390/s22166288

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Title: Spectral Reflectance Recovery from the Quadcolor Camera Signals Using the Interpolation and Weighted Principal Component Analysis Methods

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Language: en

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Publication year: 2022

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Publication date: 2022-08-21

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Authors: Yu-Che Wen, Senfar Wen, Long Hsu, Sien Chi

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Landing page: https://doi.org/10.3390/s22166288

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Concepts: Color difference, RGB color model, Artificial intelligence, Color filter array, Computer vision, Filter (signal processing), Interpolation (computer graphics), Channel (broadcasting), Principal component analysis, Mathematics, Computer science, Demosaicing, Color gel, Sensitivity (control systems), Optics, Color image, Image processing, Physics, Engineering, Motion (physics), Image (mathematics), Thin-film transistor, Electronic engineering, Electrode, Computer network, Quantum mechanics

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Cited by: 5

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Citations by year (recent): 2025: 1, 2024: 1, 2023: 2, 2022: 1

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