Objective colorimetric validation of perceptually realistic rendering: a study of paint coating materials

Victor Medina; Thomas Muller; Dominique Lafon-Pham; Alexis Paljic; Philippe Porral

doi:10.1117/1.JEI.25.6.061609

22 September 2016 Objective colorimetric validation of perceptually realistic rendering: a study of paint coating materials

Victor Medina, Thomas Muller, Dominique Lafon-Pham, Alexis Paljic, Philippe Porral

Author Affiliations +

Journal of Electronic Imaging, Vol. 25, Issue 6, 061609 (September 2016). https://doi.org/10.1117/1.JEI.25.6.061609

Abstract

This work was conducted in the context of perceptually realistic image simulations of paint materials. These simulations aim at producing the same visual response in an observer as real objects given certain illumination and observation conditions. The colorimetric validation ensures that the colors in the simulated images differ from the real scene below a given threshold and human observers cannot discern between them. Most existing validations use the direct approach of comparing renderings with real scenes and are usually briefly described. We propose a colorimetric validation using radiometrically calibrated photographs as valid perceptual references of the real scene, which avoids taking spectral measurements of the scene. This paper details important methodological aspects, providing objective validation results for a Macbeth color chart and a sample paint coating. Our results show that we can achieve xy chromaticity differences under 3%, relative luminance differences under 5%, and CIEDE2000 differences under 10% for the Macbeth chart. In the case of a sample paint coating, achieved chromaticity differences are under 11% and average luminance and CIEDE2000 differences are under 1%. Validation by visual inspection is not addressed here.

Citation Download Citation

Victor Medina, Thomas Muller, Dominique Lafon-Pham, Alexis Paljic, and Philippe Porral "Objective colorimetric validation of perceptually realistic rendering: a study of paint coating materials," Journal of Electronic Imaging 25(6), 061609 (22 September 2016). https://doi.org/10.1117/1.JEI.25.6.061609

Published: 22 September 2016

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $24.00

Non-members: $28.00 ADD TO CART

JOURNAL ARTICLE
15 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Photography

Cameras

Coating

Visualization

Calibration

Sensors

Camera shutters

Show All Keywords

Keywords/Phrases

Search In:

Publication Years