Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Lattice softening and diffusive dynamics in the polar metal LiReO<sub>3</sub>.

Science advances·2026

Same author

Spectral Image Rendering of Fluorescent Objects Using a Conventional Renderer.

IEEE transactions on visualization and computer graphics·2026

Same author

Transport evidence of current-induced nematic Dirac valleys in a parity-time-symmetric antiferromagnet.

Nature communications·2026

Same author

Frustrated random-singlet state with ice-type structural fluctuation in spinel titanates.

Proceedings of the National Academy of Sciences of the United States of America·2025

Same author

Roughness Estimation and Image Rendering for Glossy Object Surface.

Journal of imaging·2025

Same author

A Method for Estimating Fluorescence Emission Spectra from the Image Data of Plant Grain and Leaves Without a Spectrometer.

Journal of imaging·2025

Same journal

Human-AI Interaction in Interventional Radiology: A Narrative Review of Current Applications, Challenges, and Future Directions.

Journal of imaging·2026

Same journal

Coronary Artery Anomalies and Anatomical Variants: Cross-Sectional Diagnostic Imaging and Clinical Background.

Journal of imaging·2026

Same journal

YoLeTooth: A Unified Framework for Joint Tooth Segmentation and Periapical Lesion Detection in Panoramic Radiographs.

Journal of imaging·2026

Same journal

Radiomics-Guided Multi-Sequence Learning for Pathological Complete Response Prediction from Breast MRI with Missing Auxiliary Sequences.

Journal of imaging·2026

Same journal

Cutaneous Thermography in Arthropathies: Quantitative Imaging, Machine Learning, and Clinical Translation.

Journal of imaging·2026

Same journal

Two-Stage Dynamic Synergistic Segmentation Method for Myocardial Pathology.

Journal of imaging·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 12, 2025

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters

Published on: June 18, 2021

Spectral Reflectance Estimation from Camera Response Using Local Optimal Dataset and Neural Networks.

Shoji Tominaga^1,2, Hideaki Sakai³

¹Department of Computer Science, Norwegian University of Science and Technology, 2815 Gjøvik, Norway.

Journal of Imaging

|September 27, 2024

Summary

This summary is machine-generated.

This study introduces a new method for estimating surface-spectral reflectance using camera responses. The novel approach combines model-based and training-based techniques, achieving higher accuracy than existing methods.

Keywords:

local optimal dataset model-based approach multispectral imaging neural network reflectance estimation surface-spectral reflectance training-based approach

More Related Videos

Simultaneous Evaluation of Cerebral Hemodynamics and Light Scattering Properties of the In Vivo Rat Brain Using Multispectral Diffuse Reflectance Imaging

Simultaneous Evaluation of Cerebral Hemodynamics and Light Scattering Properties of the In Vivo Rat Brain Using Multispectral Diffuse Reflectance Imaging

Published on: May 7, 2017

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

Related Experiment Videos

Last Updated: Jun 12, 2025

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters

Published on: June 18, 2021

Simultaneous Evaluation of Cerebral Hemodynamics and Light Scattering Properties of the In Vivo Rat Brain Using Multispectral Diffuse Reflectance Imaging

Simultaneous Evaluation of Cerebral Hemodynamics and Light Scattering Properties of the In Vivo Rat Brain Using Multispectral Diffuse Reflectance Imaging

Published on: May 7, 2017

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

Area of Science:

Computer Vision
Image Processing
Spectroscopy

Background:

Estimating surface-spectral reflectance is crucial for accurate color reproduction and material analysis.
Existing methods often struggle with complex lighting conditions and noise.

Purpose of the Study:

To develop a novel, accurate method for estimating surface-spectral reflectance from RGB camera responses.
To combine model-based and training-based approaches for improved estimation.

Main Methods:

A hybrid approach combining a physical imaging system model with a neural network.
Stage 1: Selecting optimal reflectance datasets from a database based on prediction error.
Stage 2: Employing a feed-forward neural network trained on local optimal data for final estimation.

Main Results:

The proposed method demonstrates superior estimation accuracy compared to other existing techniques.
Experimental results validate the effectiveness of the two-stage estimation procedure.

Conclusions:

The novel hybrid method offers a significant advancement in surface-spectral reflectance estimation.
This technique provides a robust solution for accurate spectral reflectance recovery from camera data.