Impacts of Viewing Conditions on HDR-VDP2

HDR (High Dynamic Range) and WCG (Wide Color Gamut) increase significantly quality of viewing experience by rendering impressive images and videos. Automatic assessing the quality of these HDR WCG images is one crucial objective in broadcast process. Full-reference HDR metrics have been designed in the last years to achieve this objective: HDR- VDP2, HDR-VQM, PU-encoding metrics. Recent studies have pointed out that HDR-VDP2 is one of the best metric. Unfortunately, HDR-VDP2 is quite complex to use due to numerous and sometimes hard-to-know parameters such as display emission spectrum, surround luminance and angular resolution. In this paper, we show that HDR-VDP2 does not require an accurate knowledge of the viewing condition parameters. For that, we not only test the impact of these parameters on existing image databases of subjective quality scores, but also we propose a new and complementary image database made with a different HDR display.

[1]  Touradj Ebrahimi,et al.  Towards high dynamic range extensions of HEVC: subjective evaluation of potential coding technologies , 2015, SPIE Optical Engineering + Applications.

[2]  Touradj Ebrahimi,et al.  Benchmarking of objective quality metrics for HDR image quality assessment , 2015, EURASIP Journal on Image and Video Processing.

[3]  Touradj Ebrahimi,et al.  Subjective quality assessment database of HDR images compressed with JPEG XT , 2015, 2015 Seventh International Workshop on Quality of Multimedia Experience (QoMEX).

[4]  Patrick Le Callet,et al.  HDR-VDP-2.2: a calibrated method for objective quality prediction of high-dynamic range and standard images , 2014, J. Electronic Imaging.

[5]  Wolfgang Heidrich,et al.  HDR-VDP-2: a calibrated visual metric for visibility and quality predictions in all luminance conditions , 2011, ACM Trans. Graph..

[6]  Emin Zerman,et al.  An extensive performance evaluation of full-reference HDR image quality metrics , 2017 .

[7]  Patrick Le Callet,et al.  Performance and robustness of HDR objective quality metrics in the context of recent compression scenarios , 2016, 2016 Digital Media Industry & Academic Forum (DMIAF).

[8]  Mark D. Fairchild,et al.  The HDR Photographic Survey , 2007, CIC.

[9]  Manish Narwaria,et al.  Tone mapping-based high-dynamic-range image compression: study of optimization criterion and perceptual quality , 2013 .

[10]  Harald Brendel,et al.  Creating cinematic wide gamut HDR-video for the evaluation of tone mapping operators and HDR-displays , 2014, Electronic Imaging.

[11]  Patrick Le Callet,et al.  HDR-VQM: An objective quality measure for high dynamic range video , 2015, Signal Process. Image Commun..

[12]  Thomas Richter,et al.  On the standardization of the JPEG XT image compression , 2013, 2013 Picture Coding Symposium (PCS).

[13]  Touradj Ebrahimi,et al.  Subjective and objective evaluation of HDR video coding technologies , 2016, 2016 Eighth International Conference on Quality of Multimedia Experience (QoMEX).

[14]  Alan C. Bovik,et al.  Image information and visual quality , 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[15]  Hans-Peter Seidel,et al.  Extending quality metrics to full luminance range images , 2008, Electronic Imaging.

[16]  Frederic Dufaux,et al.  Performance evaluation of objective quality metrics for HDR image compression , 2014, Optics & Photonics - Optical Engineering + Applications.