Multi-View 3D CG Image Quality Assessment for Contrast Enhancement Based on S-CIELAB Color Space

Norifumi KAWABATA; Masaru MIYAO

doi:10.1587/transinf.2016EDP7367

Multi-View 3D CG Image Quality Assessment for Contrast Enhancement Based on S-CIELAB Color Space

Norifumi KAWABATA, Masaru MIYAO

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Previously, it is not obvious to what extent was accepted for the assessors when we see the 3D image (including multi-view 3D) which the luminance change may affect the stereoscopic effect and assessment generally. We think that we can conduct a general evaluation, along with a subjective evaluation, of the luminance component using both the S-CIELAB color space and CIEDE2000. In this study, first, we performed three types of subjective evaluation experiments for contrast enhancement in an image by using the eight viewpoints parallax barrier method. Next, we analyzed the results statistically by using a support vector machine (SVM). Further, we objectively evaluated the luminance value measurement by using CIEDE2000 in the S-CIELAB color space. Then, we checked whether the objective evaluation value was related to the subjective evaluation value. From results, we were able to see the characteristic relationship between subjective assessment and objective assessment.

Publication: IEICE TRANSACTIONS on Information Vol.E100-D No.7 pp.1448-1462

Publication Date: 2017/07/01

Publicized: 2017/03/28

Online ISSN: 1745-1361

DOI: 10.1587/transinf.2016EDP7367

Type of Manuscript: PAPER

Category: Image Processing and Video Processing

Authors

Norifumi KAWABATA
Nagoya University
Masaru MIYAO
Nagoya University

Keyword

multi-view 3D image, Double Stimulus Impairment Scale (DSIS), Luminance, S-CIELAB color space, CIEDE2000, Support Vector Machine (SVM)

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Norifumi KAWABATA, Masaru MIYAO, "Multi-View 3D CG Image Quality Assessment for Contrast Enhancement Based on S-CIELAB Color Space" in IEICE TRANSACTIONS on Information, vol. E100-D, no. 7, pp. 1448-1462, July 2017, doi: 10.1587/transinf.2016EDP7367.
Abstract: Previously, it is not obvious to what extent was accepted for the assessors when we see the 3D image (including multi-view 3D) which the luminance change may affect the stereoscopic effect and assessment generally. We think that we can conduct a general evaluation, along with a subjective evaluation, of the luminance component using both the S-CIELAB color space and CIEDE2000. In this study, first, we performed three types of subjective evaluation experiments for contrast enhancement in an image by using the eight viewpoints parallax barrier method. Next, we analyzed the results statistically by using a support vector machine (SVM). Further, we objectively evaluated the luminance value measurement by using CIEDE2000 in the S-CIELAB color space. Then, we checked whether the objective evaluation value was related to the subjective evaluation value. From results, we were able to see the characteristic relationship between subjective assessment and objective assessment.
URL: https://globals.ieice.org/en_transactions/information/10.1587/transinf.2016EDP7367/_p

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@ARTICLE{e100-d_7_1448,
author={Norifumi KAWABATA, Masaru MIYAO, },
journal={IEICE TRANSACTIONS on Information},
title={Multi-View 3D CG Image Quality Assessment for Contrast Enhancement Based on S-CIELAB Color Space},
year={2017},
volume={E100-D},
number={7},
pages={1448-1462},
abstract={Previously, it is not obvious to what extent was accepted for the assessors when we see the 3D image (including multi-view 3D) which the luminance change may affect the stereoscopic effect and assessment generally. We think that we can conduct a general evaluation, along with a subjective evaluation, of the luminance component using both the S-CIELAB color space and CIEDE2000. In this study, first, we performed three types of subjective evaluation experiments for contrast enhancement in an image by using the eight viewpoints parallax barrier method. Next, we analyzed the results statistically by using a support vector machine (SVM). Further, we objectively evaluated the luminance value measurement by using CIEDE2000 in the S-CIELAB color space. Then, we checked whether the objective evaluation value was related to the subjective evaluation value. From results, we were able to see the characteristic relationship between subjective assessment and objective assessment.},
keywords={},
doi={10.1587/transinf.2016EDP7367},
ISSN={1745-1361},
month={July},}

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TY - JOUR
TI - Multi-View 3D CG Image Quality Assessment for Contrast Enhancement Based on S-CIELAB Color Space
T2 - IEICE TRANSACTIONS on Information
SP - 1448
EP - 1462
AU - Norifumi KAWABATA
AU - Masaru MIYAO
PY - 2017
DO - 10.1587/transinf.2016EDP7367
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E100-D
IS - 7
JA - IEICE TRANSACTIONS on Information
Y1 - July 2017
AB - Previously, it is not obvious to what extent was accepted for the assessors when we see the 3D image (including multi-view 3D) which the luminance change may affect the stereoscopic effect and assessment generally. We think that we can conduct a general evaluation, along with a subjective evaluation, of the luminance component using both the S-CIELAB color space and CIEDE2000. In this study, first, we performed three types of subjective evaluation experiments for contrast enhancement in an image by using the eight viewpoints parallax barrier method. Next, we analyzed the results statistically by using a support vector machine (SVM). Further, we objectively evaluated the luminance value measurement by using CIEDE2000 in the S-CIELAB color space. Then, we checked whether the objective evaluation value was related to the subjective evaluation value. From results, we were able to see the characteristic relationship between subjective assessment and objective assessment.
ER -