Perceived dynamic range of HDR images with no semantic information
Authors: Hulusic, V., Valenzise, G. and Dufaux, F.
Journal: IS and T International Symposium on Electronic Imaging Science and Technology
eISSN: 2470-1173
DOI: 10.2352/ISSN.2470-1173.2018.14.HVEI-507
Abstract:Computing dynamic range of high dynamic range (HDR) content is an important procedure when selecting the test material, designing and validating algorithms, or analyzing aesthetic attributes of HDR content. It can be computed on a pixel-based level, measured through subjective tests or predicted using a mathematical model. However, all these methods have certain limitations. This paper investigates whether dynamic range of modeled images with no semantic information, but with the same first order statistics as the original, natural content, is perceived the same as for the corresponding natural images. If so, it would be possible to improve the perceived dynamic range (PDR) predictor model by using additional objective metrics, more suitable fo r such synthetic content. Within the subjective study three experiments were conducted with 43 participants. The results show significant correlation between the mean opinion scores for the two image groups. Nevertheless, natural images still seem to provide better cues for evaluation of PDR.
https://eprints.bournemouth.ac.uk/30366/
Source: Scopus
Perceived Dynamic Range of HDR Images with no Semantic Information
Authors: Hulusic, V., Valenzise, G. and Dufaux, F.
Conference: Human Vision and Electronic Imaging Conference, IS&T International Symposium on Electronic Imaging (EI 2018)
Dates: 29 January-1 February 2018
https://eprints.bournemouth.ac.uk/30366/
Source: Manual
Perceived Dynamic Range of HDR Images with no Semantic Information
Authors: Hulusic, V., Valenzise, G. and Dufaux, F.
Conference: Human Vision and Electronic Imaging: IS&T International Symposium on Electronic Imaging (EI 2018)
Publisher: Society for Imaging Science and Technology
ISSN: 2470-1173
Abstract:Computing dynamic range of high dynamic range (HDR) content is an important procedure when selecting the test material, designing and validating algorithms, or analyzing aesthetic attributes of HDR content. It can be computed on a pixelbased level, measured through subjective tests or predicted using a mathematical model. However, all these methods have certain limitations. This paper investigates whether dynamic range of modeled images with no semantic information, but with the same first order statistics as the original, natural content, is perceived the same as for the corresponding natural images. If so, it would be possible to improve the perceived dynamic range (PDR) predictor model by using additional objective metrics, more suitable for such synthetic content. Within the subjective study, three experiments were conducted with 43 participants. The results show significant correlation between the mean opinion scores for the two image groups. Nevertheless, natural images still seem to provide better cues for evaluation of PDR.
https://eprints.bournemouth.ac.uk/30366/
http://www.imaging.org/site/IST/IST/Conferences/EI/Symposium_Overview.aspx
Source: BURO EPrints