Project description

Although high dynamic range (HDR) imaging has gained great popularity and acceptance in both the scientific and commercial domains, the relationship between perceptually accurate, content-independent dynamic range and objective measures has not been fully explored. We proposed a new methodology for perceived dynamic range evaluation of complex stimuli in HDR conditions. We conducted a subjective study with 24 participants and analyzed correlations between mean opinion scores (MOS) and three image features. Strong Spearman correlations between MOS and objective DR measure and between MOS and image key were found. An exploratory analysis revealed that additional image characteristics should be considered when modeling perceptually-based dynamic range metrics. Finally, one of the outcomes of the study is the perceptually annotated HDR image dataset with MOS values, that can be used for HDR imaging algorithms and metric validation, content selection and analysis of aesthetic image attributes.

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All the experiments have been done on an HDR SIM2 HDR47ES4MB 47" screen, operated in DVI+ mode. The images used in the study were obtained by utilising the algorithm developed by Zerman et al. [1].

Results

  • Data [CSV]
  • Data (feature scaled) [CSV]
  • Data sheets [PDF] (48KB)
  • Thumbnails [PDF] (37.75MB)

Source material

  • Chromatic images (.HDR) [ZIP] (183.73MB)
  • Achromatic images (.HDR) [ZIP] (69.12MB)

Disclaimers

  • 33 images used in the study were generated using the original images from the "Mark Fairchild's HDR Photographic Survey" [2].
  • Two images (Carousel and Bistro) are frames extracted from the HDR video sequences from the Stuttgart HDR Video Database [3].
  • The Market image (a frame extracted from the HDR video sequence proposed in MPEG by Technicolor [4]) is not provided as we have not got the owner's permission to make the image publically available.
  • For using these results or source material in your studies please refer to [5] or [6].

[1] E. Zerman, G. Valenzise, F. De Simone, F. Banterle, F. Dufaux, effects of display rendering on hdr image quality assessment, in: SPIE Optical Engineering+ Applications, International Society for Optics and Photonics, 2015.
[2] M. D. Fairchild, The hdr photographic survey, in: Color and Imaging Conference, Vol. 2007, Society for Imaging Science and Technology, 2007.
[3] J. Froehlich, S. Grandinetti, B. Eberhardt, S. Walter, A. Schilling, H. Brendel, Creating cinematic wide gamut hdr-video for the evaluation of tone mapping operators and hdr-displays, 2014.
[4] S. Lasserre, F. LeLeannec, E. Francois, Description of HDR sequences proposed by technicolor, ISO/IEC JTC1/SC29/WG11 JCTVC-P0228, IEEE, San Jose, USA.
[5] V. Hulusic, K. Debattista, G. Valenzise, F. Dufaux, A Model of Perceived Dynamic Range for HDR Images, In Signal Processing: Image Communication, 51, 26-39. 2017.
[6] V. Hulusic, G. Valenzise, E. Provenzi, K. Debattista, F. Dufaux, Perceived dynamic range of hdr images, in: Proceedings 8th International Workshop on Quality of Multimedia Experience (QoMEX2016), IEEE, 2016.

Publications

  • Hulusic, V., Debattista, K., Valenzise, G., & Dufaux, F. (2017).
    A Model of Perceived Dynamic Range for HDR Images.
    Signal Processing: Image Communication, 51, 26-39.
    [ PDF ] [ BibTeX ]
  • Hulusic, V., Valenzise, G., Provenzi, E., Debattista, K., & Dufaux, F. (2016).
    Perceived Dynamic Range in HDR Images.
    In Proceedings of the 8th International Workshop on Quality of Multimedia Experience (QoMEX), IEEE.
    [ PDF ] [ BibTeX ]

Contact

E-mail:

Office address:

vedad[dot]hulusic[at]telecom[dash]paristech[dot]fr

Telecom ParisTech
B616
46 rue Barrault
75013, Paris - France

Tel: +33 (0)1 45 81 72 19