Objective Estimation Methods for the Quality of HDR Images and Their Evaluation with Subjective Assessment

Hirofumi TAKANO; Naoyuki AWANO; Kenji SUGIYAMA

doi:10.1587/transfun.E98.A.1689

Objective Estimation Methods for the Quality of HDR Images and Their Evaluation with Subjective Assessment

Hirofumi TAKANO, Naoyuki AWANO, Kenji SUGIYAMA

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High dynamic range (HDR) images that include large differences in brightness levels are studied to address the lack of knowledge on the quality estimation method for real HDR images. For this, we earlier proposed a new metric, the independent signal-to-noise ratio (ISNR), using the independent pixel value as the signal instead of the peak value (PSNR). Next, we proposed the local peak signal-to-noise ratio (LPSNR), using the maximum value of neighboring pixels, as an improved version. However, these methods did not sufficiently consider human perception. To address this issue, here we proposed an objective estimation method that considers spatial frequency characteristics based on the actual brightness. In this method, the approximated function for human characteristics is calculated and used as a 2D filter on an FFT for spatial frequency weighting. In order to confirm the usefulness of this objective estimation method, we compared the results of the objective estimation with a subjective assessment. We used the organic EL display which has a perfect contrast ratio for the subjective assessment. The results of experiments showed that perceptual weighting improves the correlation between the SNR and MOS of the subjective assessment. It is recognized that the weighted LPSNR gives the best correlation.

Publication: IEICE TRANSACTIONS on Fundamentals Vol.E98-A No.8 pp.1689-1695

Publication Date: 2015/08/01

Publicized

Online ISSN: 1745-1337

DOI: 10.1587/transfun.E98.A.1689

Type of Manuscript: Special Section PAPER (Special Section on Image Media Quality)

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Authors

Hirofumi TAKANO
  Seikei University
Naoyuki AWANO
  Seikei University
Kenji SUGIYAMA
  Seikei University

Keyword

high dynamic range image, objective estimation, subjective assessment, weighted SNR

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Hirofumi TAKANO, Naoyuki AWANO, Kenji SUGIYAMA, "Objective Estimation Methods for the Quality of HDR Images and Their Evaluation with Subjective Assessment" in IEICE TRANSACTIONS on Fundamentals, vol. E98-A, no. 8, pp. 1689-1695, August 2015, doi: 10.1587/transfun.E98.A.1689.
Abstract: High dynamic range (HDR) images that include large differences in brightness levels are studied to address the lack of knowledge on the quality estimation method for real HDR images. For this, we earlier proposed a new metric, the independent signal-to-noise ratio (ISNR), using the independent pixel value as the signal instead of the peak value (PSNR). Next, we proposed the local peak signal-to-noise ratio (LPSNR), using the maximum value of neighboring pixels, as an improved version. However, these methods did not sufficiently consider human perception. To address this issue, here we proposed an objective estimation method that considers spatial frequency characteristics based on the actual brightness. In this method, the approximated function for human characteristics is calculated and used as a 2D filter on an FFT for spatial frequency weighting. In order to confirm the usefulness of this objective estimation method, we compared the results of the objective estimation with a subjective assessment. We used the organic EL display which has a perfect contrast ratio for the subjective assessment. The results of experiments showed that perceptual weighting improves the correlation between the SNR and MOS of the subjective assessment. It is recognized that the weighted LPSNR gives the best correlation.
URL: https://globals.ieice.org/en_transactions/fundamentals/10.1587/transfun.E98.A.1689/_p

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@ARTICLE{e98-a_8_1689,
author={Hirofumi TAKANO, Naoyuki AWANO, Kenji SUGIYAMA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Objective Estimation Methods for the Quality of HDR Images and Their Evaluation with Subjective Assessment},
year={2015},
volume={E98-A},
number={8},
pages={1689-1695},
abstract={High dynamic range (HDR) images that include large differences in brightness levels are studied to address the lack of knowledge on the quality estimation method for real HDR images. For this, we earlier proposed a new metric, the independent signal-to-noise ratio (ISNR), using the independent pixel value as the signal instead of the peak value (PSNR). Next, we proposed the local peak signal-to-noise ratio (LPSNR), using the maximum value of neighboring pixels, as an improved version. However, these methods did not sufficiently consider human perception. To address this issue, here we proposed an objective estimation method that considers spatial frequency characteristics based on the actual brightness. In this method, the approximated function for human characteristics is calculated and used as a 2D filter on an FFT for spatial frequency weighting. In order to confirm the usefulness of this objective estimation method, we compared the results of the objective estimation with a subjective assessment. We used the organic EL display which has a perfect contrast ratio for the subjective assessment. The results of experiments showed that perceptual weighting improves the correlation between the SNR and MOS of the subjective assessment. It is recognized that the weighted LPSNR gives the best correlation.},
keywords={},
doi={10.1587/transfun.E98.A.1689},
ISSN={1745-1337},
month={August},}

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TY - JOUR
TI - Objective Estimation Methods for the Quality of HDR Images and Their Evaluation with Subjective Assessment
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1689
EP - 1695
AU - Hirofumi TAKANO
AU - Naoyuki AWANO
AU - Kenji SUGIYAMA
PY - 2015
DO - 10.1587/transfun.E98.A.1689
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E98-A
IS - 8
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - August 2015
AB - High dynamic range (HDR) images that include large differences in brightness levels are studied to address the lack of knowledge on the quality estimation method for real HDR images. For this, we earlier proposed a new metric, the independent signal-to-noise ratio (ISNR), using the independent pixel value as the signal instead of the peak value (PSNR). Next, we proposed the local peak signal-to-noise ratio (LPSNR), using the maximum value of neighboring pixels, as an improved version. However, these methods did not sufficiently consider human perception. To address this issue, here we proposed an objective estimation method that considers spatial frequency characteristics based on the actual brightness. In this method, the approximated function for human characteristics is calculated and used as a 2D filter on an FFT for spatial frequency weighting. In order to confirm the usefulness of this objective estimation method, we compared the results of the objective estimation with a subjective assessment. We used the organic EL display which has a perfect contrast ratio for the subjective assessment. The results of experiments showed that perceptual weighting improves the correlation between the SNR and MOS of the subjective assessment. It is recognized that the weighted LPSNR gives the best correlation.
ER -