Effects of display rendering on HDR image quality assessment

被引:4
|
作者
Zerman, Emin [1 ]
Valenzise, Giuseppe [1 ]
De Simone, Francesca [1 ]
Banterle, Francesco [2 ]
Dufaux, Frederic [1 ]
机构
[1] Telecom ParisTech, Inst Mines Telecom, CNRS LTCI, Paris, France
[2] CNR, I-56100 Pisa, Italy
关键词
High dynamic range; quality assessment; image coding; INFORMATION;
D O I
10.1117/12.2186674
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
High dynamic range (HDR) displays use local backlight modulation to produce both high brightness levels and large contrast ratios. Thus, the display rendering algorithm and its parameters may greatly affect HDR visual experience. In this paper, we analyze the impact of display rendering on perceived quality for a specific display (SIM2 HDR47) and for a popular application scenario, i.e., HDR image compression. To this end, we assess whether significant differences exist between subjective quality of compressed images, when these are displayed using either the built-in rendering of the display, or a rendering algorithm developed by ourselves. As a second contribution of this paper, we investigate whether the possibility to estimate the true pixel-wise luminance emitted by the display, offered by our rendering approach, can improve the performance of HDR objective quality metrics that require true pixel-wise luminance as input.
引用
收藏
页数:11
相关论文
共 50 条
  • [1] Observation of image quality for HDR micro LED display*
    Park, Daeun
    Jeong, Younghoon
    Moon, YoungSu
    Park, YungKyung
    [J]. DISPLAYS, 2023, 79
  • [2] Objective HDR image quality assessment
    Lin, Chih-Yang
    Jheng, Kai-Ren
    Shih, Timothy K.
    [J]. MULTIMEDIA TOOLS AND APPLICATIONS, 2019, 78 (02) : 1547 - 1567
  • [3] Objective HDR image quality assessment
    Chih-Yang Lin
    Kai-Ren Jheng
    Timothy K. Shih
    [J]. Multimedia Tools and Applications, 2019, 78 : 1547 - 1567
  • [4] A Display-Independent Quality Assessment for HDR Images
    Zhang, Keke
    Fang, Ying
    Chen, Weiling
    Xu, Yiwen
    Zhao, Tiesong
    [J]. IEEE SIGNAL PROCESSING LETTERS, 2022, 29 : 464 - 468
  • [5] Image preference scaling for HDR image rendering
    Kuang, JT
    Johnson, GM
    Fairchild, MD
    [J]. THIRTEENTH COLOR IMAGING CONFERENCE, FINAL PROGRAM AND PROCEEDINGS: COLOR SCIENCE AND ENGINEERING SYSTEMS, TECHNOLOGIES, AND APPLICATIONS, 2005, : 8 - 13
  • [6] Testing HDR image rendering algorithms
    Kuang, JT
    Yamaguchi, H
    Johnson, GM
    Fairchild, MD
    [J]. 12TH COLOR IMAGING CONFERENCE: COLOR SCIENCE AND ENGINEERING SYSTEMS, TECHNOLOGIES, APPLICATIONS, 2004, : 315 - 320
  • [7] Combining Quality Metrics for improved HDR Image Quality Assessment
    Choudhury, Anustup
    Daly, Scott
    [J]. 2019 2ND IEEE CONFERENCE ON MULTIMEDIA INFORMATION PROCESSING AND RETRIEVAL (MIPR 2019), 2019, : 179 - 184
  • [8] Benchmarking of objective quality metrics for HDR image quality assessment
    Philippe Hanhart
    Marco V. Bernardo
    Manuela Pereira
    António M. G. Pinheiro
    Touradj Ebrahimi
    [J]. EURASIP Journal on Image and Video Processing, 2015
  • [9] Benchmarking of objective quality metrics for HDR image quality assessment
    Hanhart, Philippe
    Bernardo, Marco V.
    Pereira, Manuela
    Pinheiro, Antonio M. G.
    Ebrahimi, Touradj
    [J]. EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING, 2015, : 1 - 18
  • [10] Robust HDR image quality assessment using combination of quality metrics
    Choudhury, Anustup
    [J]. MULTIMEDIA TOOLS AND APPLICATIONS, 2020, 79 (31-32) : 22843 - 22867