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A model of perceived dynamic range for HDR images.

Hulusic, V., Debattista, K., Valenzise, G. and Dufaux, F., 2017. A model of perceived dynamic range for HDR images. Signal Processing: Image Communication, 51, 26 - 39.

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DOI: 10.1016/j.image.2016.11.005


For High Dynamic Range (HDR) content, the dynamic range of an image is an important characteristic in algorithm design and validation, analysis of aesthetic attributes and content selection. Traditionally, it has been computed as the ratio between the maximum and minimum pixel luminance, a purely objective measure; however, the human visual system's perception of dynamic range is more complex and has been largely neglected in the literature. In this paper, a new methodology for measuring perceived dynamic range (PDR) of chromatic and achromatic HDR images is proposed. PDR can benefit HDR in a number of ways: for evaluating inverse tone mapping operators and HDR compression methods; aesthetically; or as a parameter for content selection in perceptual studies. A subjective study was conducted on a data set of 36 chromatic and achromatic HDR images. Results showed a strong agreement across participants' allocated scores. In addition, a high correlation between ratings of the chromatic and achromatic stimuli was found. Based on the results from a pilot study, five objective measures (pixel-based dynamic range, image key, area of bright regions, contrast and colorfulness) were selected as candidates for a PDR predictor model; two of which have been found to be significant contributors to the model. Our analyses show that this model performs better than individual metrics for both achromatic and chromatic stimuli.

Item Type:Article
Uncontrolled Keywords:High Dynamic Range; Perceived Dynamic Range; Subjective Evaluation; Predictor Mode
Group:Faculty of Science & Technology
ID Code:30360
Deposited By: Symplectic RT2
Deposited On:15 Feb 2018 15:33
Last Modified:14 Mar 2022 14:09


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