ArticleSensors (Basel, Switzerland)2021
Measurement and Estimation of Spectral Sensitivity Functions for Mobile Phone Cameras.
Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Smartphone-based optical and spectroscopic sensors for food safety monitoring: principles, applications, and future directions.Mikrochimica acta · 2026Review
- Matrix-R Theory: A Simple Generic Method to Improve RGB-Guided Spectral Recovery Algorithms.Sensors (Basel, Switzerland) · 2025Article
- Gamma Correction and Color Space Transformations for Quantitative Analysis of Electrochemiluminescence Images Using Smartphone Cameras.Chemical & biomedical imaging · 2025Article
- RGB color correction and gamut limitations in smartphone-based kinetic analysis of chemical reactions.Analytical and bioanalytical chemistry · 2025Article
- Machine reading and recovery of colors for hemoglobin-related bioassays and bioimaging.Science advances · 2025Article
- Hyperspectral reconstruction for mobile diabetic foot blood perfusion monitoring.BMC artificial intelligence · 2025Article
- Extended magenta aurora as revealed by citizen science.Scientific reports · 2024Article
- High Dynamic Range Image Reconstruction from Saturated Images of Metallic Objects.Journal of imaging · 2024Article
- Practical RGB-to-XYZ Color Transformation Matrix Estimation under Different Lighting Conditions for Graffiti Documentation.Sensors (Basel, Switzerland) · 2024Article
- Spectral Reflectance Estimation from Camera Responses Using Local Optimal Dataset.Journal of imaging · 2023Article
- Glowstick-inspired smartphone-readable reporters for sensitive, multiplexed lateral flow immunoassays.Communications engineering · 2023Article
- An improved spectral estimation method based on color perception features of mobile phone camera.Frontiers in neuroscience · 2022Article
- Improving the reliability of smartphone-based urine colorimetry using a colour card calibration method.Digital healthArticle
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Authors and funding
3 authors.
Funding
Abstract
Mobile phone cameras are often significantly more useful than professional digital single-lens reflex (DSLR) cameras. Knowledge of the camera spectral sensitivity function is important in many fields that make use of images. In this study, methods for measuring and estimating spectral sensitivity functions for mobile phone cameras are developed. In the direct measurement method, the spectral sensitivity at each wavelength is measured using monochromatic light. Although accurate, this method is time-consuming and expensive. The indirect estimation method is based on color samples, in which the spectral sensitivities are estimated from the input data of color samples and the corresponding output RGB values from the camera. We first present an imaging system for direct measurements. A variety of mobile phone cameras are measured using the system to create a database of spectral sensitivity functions. The features of the measured spectral sensitivity functions are then studied using principal component analysis (PCA) and the statistical features of the spectral functions extracted. We next describe a normal method to estimate the spectral sensitivity functions using color samples and point out some drawbacks of the method. A method to solve the estimation problem using the spectral features of the sensitivity functions in addition to the color samples is then proposed. The estimation is stable even when only a small number of spectral features are selected. Finally, the results of the experiments to confirm the feasibility of the proposed method are presented. We establish that our method is excellent in terms of both the data volume of color samples required and the estimation accuracy of the spectral sensitivity functions.
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