Subjective and Objective Evaluation of Multi-exposure High Dynamic Range Image Deghosting Methods

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dc.contributor.authorKaraduzovic-Hadziabdic, Kanitaen_US
dc.contributor.authorTelalovic, Jasminka Hasicen_US
dc.contributor.authorMantiuk, Rafalen_US
dc.contributor.editorT. Bashford-Rogers and L. P. Santosen_US
dc.date.accessioned2016-04-26T07:56:09Z
dc.date.available2016-04-26T07:56:09Z
dc.date.issued2016en_US
dc.description.abstractTo avoid motion artefacts when merging multiple exposures into an HDR image, a number of deghosting algorithms have been proposed. These algorithms, however, do not work equally well on all types of scenes, and some may even introduce additional artefacts. Even though subjective methods of evaluation provide reliable means of testing, they need to be repeated for each new proposed method or even its slight modification and are cumbersome to perform. In this work, we evaluate several computational approaches of quantitative evaluation of multi-exposure HDR deghosting algorithms and demonstrate their results on five state-of-the-art algorithms.The quality of HDR images produced by deghosting methods is measured in a subjective experiment, and then evaluated using five objective metrics. The most reliable metrics is then selected by testing correlation between subjective and objective metric scores.en_US
dc.description.sectionheadersImagingen_US
dc.description.seriesinformationEG 2016 - Short Papersen_US
dc.identifier.doi10.2312/egsh.20161007en_US
dc.identifier.issn1017-4656en_US
dc.identifier.pages29-32en_US
dc.identifier.urihttps://doi.org/10.2312/egsh.20161007en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectI.3.3[ComputerGraphics]en_US
dc.subjectHDR image deghosting methodsen_US
dc.subjectsubjective and objective evaluationen_US
dc.titleSubjective and Objective Evaluation of Multi-exposure High Dynamic Range Image Deghosting Methodsen_US
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