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Updated: Apr 3, 2026

Measuring Spatially- and Directionally-varying Light Scattering from Biological Material

Measuring Spatially- and Directionally-varying Light Scattering from Biological Material

Published on: May 20, 2013

Reference data set for camera spectral sensitivity estimation.

Maryam Mohammadzadeh Darrodi, Graham Finlayson, Teresa Goodman

Journal of the Optical Society of America. A, Optics, Image Science, and Vision

|September 15, 2015

Summary

This summary is machine-generated.

We developed a new method to measure camera spectral sensitivity functions, estimating errors at each wavelength. Current estimation techniques lack accuracy, highlighting the need for improved algorithms.

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Area of Science:

Color Science
Digital Imaging
Metrology

Background:

Accurate spectral sensitivity functions are crucial for digital cameras.
Existing methods for estimating these functions have limitations.
Ground truth data for camera spectral sensitivity is scarce.

Purpose of the Study:

To establish a precise measurement procedure for ground truth spectral sensitivity functions.
To quantify measurement errors at each wavelength.
To evaluate the performance of existing spectral estimation techniques.

Main Methods:

Developed a spectral sensitivity measurement procedure at the National Physical Laboratory.
Estimated potential measurement errors for Nikon D5100 and Sigma SD1 Merrill cameras at each wavelength.
Tested various sensor estimation techniques using measured and synthetic data against ground truth.

Main Results:

Obtained ground truth spectral sensitivity functions for two camera models.
Quantified measurement errors across the spectrum for each camera.
Found that current estimation techniques are not sufficiently accurate compared to ground truth data.

Conclusions:

Existing spectral estimation algorithms require significant improvement.
The developed measurement procedure provides reliable ground truth data.
Open-access data will facilitate the development of more accurate algorithms.