Perceived dynamic range of HDR images

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. In this paper, a new methodology for perceived dynamic range evaluation of complex stimuli in HDR conditions is proposed. A subjective study with 20 participants was conducted and correlations between mean opinion scores (MOS) and three image features were analyzed. Strong Spearman correlations between MOS and objective DR measure and between MOS and image key were found. An exploratory analysis reveals 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.

[1]  Patrick Le Callet,et al.  An objective method for High Dynamic Range source content selection , 2014, 2014 Sixth International Workshop on Quality of Multimedia Experience (QoMEX).

[2]  A. Gilchrist,et al.  An anchoring theory of lightness perception. , 1999, Psychological review.

[3]  A. Gilchrist,et al.  An anchoring theory of lightness perception. , 1999 .

[4]  László Neumann,et al.  Global Contrast Factor - a New Approach to Image Contrast , 2005, CAe.

[5]  Erik Reinhard,et al.  Photographic tone reproduction for digital images , 2002, ACM Trans. Graph..

[6]  Erik Reinhard,et al.  Color appearance in high-dynamic-range imaging , 2006, J. Electronic Imaging.

[7]  Aljoscha Smolic,et al.  Automated Aesthetic Analysis of Photographic Images , 2015, IEEE Transactions on Visualization and Computer Graphics.

[8]  D. Amnon Silverstein,et al.  Efficient method for paired comparison , 2001, J. Electronic Imaging.

[9]  A. Gilchrist,et al.  Relative area and relative luminance combine to anchor surface lightness values , 1999, Perception & psychophysics.

[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]  Giuseppe Valenzise,et al.  Dynamic range expansion of video sequences: A subjective quality assessment study , 2014, 2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

[12]  Emin Zerman,et al.  Effects of display rendering on HDR image quality assessment , 2015, SPIE Optical Engineering + Applications.

[13]  Michael H. Brill,et al.  Color appearance models , 1998 .

[14]  Mark D. Fairchild,et al.  Color Appearance Models: Fairchild/Color Appearance Models , 2013 .

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

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

[17]  Mahdi Nezamabadi,et al.  Color Appearance Models , 2014, J. Electronic Imaging.

[18]  Jari Korhonen,et al.  Subjective quality of videos displayed with local backlight dimming at different peak white and ambient light levels , 2015, 2015 Seventh International Workshop on Quality of Multimedia Experience (QoMEX).

[19]  E. Land,et al.  Lightness and retinex theory. , 1971, Journal of the Optical Society of America.

[20]  Eli Peli,et al.  24.1: Measuring the Perceived Contrast of Natural Images , 2011 .

[21]  Matthew Anderson,et al.  Proposal for a Standard Default Color Space for the Internet - sRGB , 1996, CIC.

[22]  Alessandro Rizzi,et al.  Mathematical definition and analysis of the retinex algorithm. , 2005, Journal of the Optical Society of America. A, Optics, image science, and vision.

[23]  Francesco Banterle,et al.  Inverse tone mapping , 2006, GRAPHITE '06.

[24]  E. Peli.  Contrast in complex images. , 1990, Journal of the Optical Society of America. A, Optics and image science.

[25]  Laurence Meylan,et al.  The Reproduction of Specular Highlights on High Dynamic Range Displays , 2006, CIC.

[26]  Kurt Debattista,et al.  Advanced High Dynamic Range Imaging: Theory and Practice , 2011 .

[27]  Wolfgang Heidrich,et al.  Ldr2Hdr: on-the-fly reverse tone mapping of legacy video and photographs , 2007, ACM Trans. Graph..

[28]  Erik Reinhard,et al.  Do HDR displays support LDR content?: a psychophysical evaluation , 2007, ACM Trans. Graph..