HDR-VDP-2: A calibrated visual metric for visibility and quality predictions in all luminance conditions

Rafa Mantiuk; Kil Joong Kim; Allan G. Rempel; Wolfgang Heidrich

doi:10.1145/1964921.1964935

HDR-VDP-2: A calibrated visual metric for visibility and quality predictions in all luminance conditions

Rafa Mantiuk^*, Kil Joong Kim, Allan G. Rempel, Wolfgang Heidrich

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

533 Scopus citations

Abstract

Visual metrics can play an important role in the evaluation of novel lighting, rendering, and imaging algorithms. Unfortunately, current metrics only work well for narrow intensity ranges, and do not correlate well with experimental data outside these ranges. To address these issues, we propose a visual metric for predicting visibility (discrimination) and quality (mean-opinion-score). The metric is based on a new visual model for all luminance conditions, which has been derived from new contrast sensitivity measurements. The model is calibrated and validated against several contrast discrimination data sets, and image quality databases (LIVE and TID2008). The visibility metric is shown to provide much improved predictions as compared to the original HDR-VDP and VDP metrics, especially for low luminance conditions. The image quality predictions are comparable to or better than for the MS-SSIM, which is considered one of the most successful quality metrics. The code of the proposed metric is available on-line.

Original language	English (US)
Title of host publication	Proceedings of ACM SIGGRAPH 2011, SIGGRAPH 2011
Volume	30
Edition	4
DOIs	https://doi.org/10.1145/1964921.1964935
State	Published - Jul 2011
Externally published	Yes
Event	ACM SIGGRAPH 2011, SIGGRAPH 2011 - Vancouver, BC, Canada Duration: Aug 7 2011 → Aug 11 2011

Other

Other	ACM SIGGRAPH 2011, SIGGRAPH 2011
Country/Territory	Canada
City	Vancouver, BC
Period	08/7/11 → 08/11/11

Keywords

High dynamic range
Image quality
Visual metric
Visual model
Visual perception

ASJC Scopus subject areas

Computer Graphics and Computer-Aided Design

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10.1145/1964921.1964935

Cite this

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title = "HDR-VDP-2: A calibrated visual metric for visibility and quality predictions in all luminance conditions",

abstract = "Visual metrics can play an important role in the evaluation of novel lighting, rendering, and imaging algorithms. Unfortunately, current metrics only work well for narrow intensity ranges, and do not correlate well with experimental data outside these ranges. To address these issues, we propose a visual metric for predicting visibility (discrimination) and quality (mean-opinion-score). The metric is based on a new visual model for all luminance conditions, which has been derived from new contrast sensitivity measurements. The model is calibrated and validated against several contrast discrimination data sets, and image quality databases (LIVE and TID2008). The visibility metric is shown to provide much improved predictions as compared to the original HDR-VDP and VDP metrics, especially for low luminance conditions. The image quality predictions are comparable to or better than for the MS-SSIM, which is considered one of the most successful quality metrics. The code of the proposed metric is available on-line.",

keywords = "High dynamic range, Image quality, Visual metric, Visual model, Visual perception",

author = "Rafa Mantiuk and {Joong Kim}, Kil and Rempel, {Allan G.} and Wolfgang Heidrich",

year = "2011",

month = jul,

doi = "10.1145/1964921.1964935",

language = "English (US)",

isbn = "9781450309431",

volume = "30",

booktitle = "Proceedings of ACM SIGGRAPH 2011, SIGGRAPH 2011",

edition = "4",

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}

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T2 - ACM SIGGRAPH 2011, SIGGRAPH 2011

AU - Mantiuk, Rafa

AU - Joong Kim, Kil

AU - Rempel, Allan G.

AU - Heidrich, Wolfgang

PY - 2011/7

Y1 - 2011/7

N2 - Visual metrics can play an important role in the evaluation of novel lighting, rendering, and imaging algorithms. Unfortunately, current metrics only work well for narrow intensity ranges, and do not correlate well with experimental data outside these ranges. To address these issues, we propose a visual metric for predicting visibility (discrimination) and quality (mean-opinion-score). The metric is based on a new visual model for all luminance conditions, which has been derived from new contrast sensitivity measurements. The model is calibrated and validated against several contrast discrimination data sets, and image quality databases (LIVE and TID2008). The visibility metric is shown to provide much improved predictions as compared to the original HDR-VDP and VDP metrics, especially for low luminance conditions. The image quality predictions are comparable to or better than for the MS-SSIM, which is considered one of the most successful quality metrics. The code of the proposed metric is available on-line.

AB - Visual metrics can play an important role in the evaluation of novel lighting, rendering, and imaging algorithms. Unfortunately, current metrics only work well for narrow intensity ranges, and do not correlate well with experimental data outside these ranges. To address these issues, we propose a visual metric for predicting visibility (discrimination) and quality (mean-opinion-score). The metric is based on a new visual model for all luminance conditions, which has been derived from new contrast sensitivity measurements. The model is calibrated and validated against several contrast discrimination data sets, and image quality databases (LIVE and TID2008). The visibility metric is shown to provide much improved predictions as compared to the original HDR-VDP and VDP metrics, especially for low luminance conditions. The image quality predictions are comparable to or better than for the MS-SSIM, which is considered one of the most successful quality metrics. The code of the proposed metric is available on-line.

KW - High dynamic range

KW - Image quality

KW - Visual metric

KW - Visual model

KW - Visual perception

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DO - 10.1145/1964921.1964935

M3 - Conference contribution

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BT - Proceedings of ACM SIGGRAPH 2011, SIGGRAPH 2011

Y2 - 7 August 2011 through 11 August 2011

ER -

HDR-VDP-2: A calibrated visual metric for visibility and quality predictions in all luminance conditions

Abstract

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Keywords

ASJC Scopus subject areas

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