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Evaluating HDR rendering algorithms

Authors:

Jiangtao Kuang,

Hiroshi Yamaguchi,

Garrett M. Johnson,

Mark D. FairchildAuthors Info & Claims

ACM Transactions on Applied Perception (TAP), Volume 4, Issue 2

Pages 9 - es

https://doi.org/10.1145/1265957.1265958

Published: 01 July 2007 Publication History

Abstract

A series of three experiments has been performed to test both the preference and accuracy of high dynamic-range (HDR) rendering algorithms in digital photography application. The goal was to develop a methodology for testing a wide variety of previously published tone-mapping algorithms for overall preference and rendering accuracy. A number of algorithms were chosen and evaluated first in a paired-comparison experiment for overall image preference. A rating-scale experiment was then designed for further investigation of individual image attributes that make up overall image preference. This was designed to identify the correlations between image attributes and the overall preference results obtained from the first experiments. In a third experiment, three real-world scenes with a diversity of dynamic range and spatial configuration were designed and captured to evaluate seven HDR rendering algorithms for both of their preference and accuracy performance by comparing the appearance of the physical scenes and the corresponding tone-mapped images directly. In this series of experiments, a modified Durand and Dorsey's bilateral filter technique consistently performed well for both preference and accuracy, suggesting that it is a good candidate for a common algorithm that could be included in future HDR algorithm testing evaluations. The results of these experiments provide insight for understanding of perceptual HDR image rendering and should aid in design strategies for spatial processing and tone mapping. The results indicate ways to improve and design more robust rendering algorithms for general HDR scenes in the future. Moreover, the purpose of this research was not simply to find out the “best” algorithms, but rather to find a more general psychophysical experiment based methodology to evaluate HDR image-rendering algorithms. This paper provides an overview of the many issues involved in an experimental framework that can be used for these evaluations.

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Cited By

Li YLiao NWu WDeng CLi YFan QLiu C(2023)Tone Mapping Operator for High Dynamic Range Images Based on Modified iCAM06Sensors10.3390/s2305251623:5(2516)Online publication date: 24-Feb-2023
https://doi.org/10.3390/s23052516
Mehmood ILiu XKhan MLuo M(2022)Method for developing and using high quality reference images to evaluate tone mapping operatorsJournal of the Optical Society of America A10.1364/JOSAA.45058139:6(B11)Online publication date: 5-Apr-2022
https://doi.org/10.1364/JOSAA.450581
Wang MCooper E(2021)A Re-examination of Dichoptic Tone MappingACM Transactions on Graphics10.1145/344370240:2(1-15)Online publication date: 21-Apr-2021
https://dl.acm.org/doi/10.1145/3443702
Show More Cited By

Index Terms

Evaluating HDR rendering algorithms
1. Computing methodologies
  1. Computer graphics
    1. Image manipulation
    2. Rendering

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Published In

cover image ACM Transactions on Applied Perception

ACM Transactions on Applied Perception Volume 4, Issue 2

July 2007

110 pages

ISSN:1544-3558

EISSN:1544-3965

DOI:10.1145/1265957

Issue’s Table of Contents

Copyright © 2007 ACM.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 July 2007

Published in TAP Volume 4, Issue 2

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Cited By

Li YLiao NWu WDeng CLi YFan QLiu C(2023)Tone Mapping Operator for High Dynamic Range Images Based on Modified iCAM06Sensors10.3390/s2305251623:5(2516)Online publication date: 24-Feb-2023
https://doi.org/10.3390/s23052516
Mehmood ILiu XKhan MLuo M(2022)Method for developing and using high quality reference images to evaluate tone mapping operatorsJournal of the Optical Society of America A10.1364/JOSAA.45058139:6(B11)Online publication date: 5-Apr-2022
https://doi.org/10.1364/JOSAA.450581
Wang MCooper E(2021)A Re-examination of Dichoptic Tone MappingACM Transactions on Graphics10.1145/344370240:2(1-15)Online publication date: 21-Apr-2021
https://dl.acm.org/doi/10.1145/3443702
Yang KZhang XLi Y(2020)A Biological Vision Inspired Framework for Image Enhancement in Poor Visibility ConditionsIEEE Transactions on Image Processing10.1109/TIP.2019.293831029(1493-1506)Online publication date: 2020
https://doi.org/10.1109/TIP.2019.2938310
Tade SVyas V(2020)Tone Mapped High Dynamic Range Image Quality Assessment Techniques: Survey and AnalysisArchives of Computational Methods in Engineering10.1007/s11831-020-09428-y28:3(1561-1574)Online publication date: 10-Apr-2020
https://doi.org/10.1007/s11831-020-09428-y
Song YYu MXu HJiang G(2020)Quality-driven tone-mapping operator: a pseudo-exposure fusion-based approachSignal, Image and Video Processing10.1007/s11760-020-01773-615:3(529-537)Online publication date: 23-Sep-2020
https://doi.org/10.1007/s11760-020-01773-6
Pawłowski PDąbrowski ABalcerek JKonieczka APiniarski K(2020)Visualization techniques to support CCTV operators of smart city servicesMultimedia Tools and Applications10.1007/s11042-020-08895-6Online publication date: 1-May-2020
https://doi.org/10.1007/s11042-020-08895-6
Ghosh H(2020)ReferencesComputational Models for Cognitive Vision10.1002/9781119527886.refs(187-213)Online publication date: 6-Jul-2020
https://doi.org/10.1002/9781119527886.refs
Abd-Alhamid FKent MBennett CCalautit JWu Y(2019)Developing an Innovative Method for Visual Perception Evaluation in a Physical-Based Virtual EnvironmentBuilding and Environment10.1016/j.buildenv.2019.106278162(106278)Online publication date: Sep-2019
https://doi.org/10.1016/j.buildenv.2019.106278
Banić NLončarić S(2019)Flash, Storm, and Mistral: Hardware-Friendly and High Quality Tone MappingComputer Vision, Imaging and Computer Graphics Theory and Applications10.1007/978-3-030-26756-8_11(228-242)Online publication date: 24-Jul-2019
https://doi.org/10.1007/978-3-030-26756-8_11
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