Modeling Surround-aware Contrast Sensitivity

Simple item page
dc.contributor.authorYi, Shinyoungen_US
dc.contributor.authorJeon, Daniel S.en_US
dc.contributor.authorSerrano, Anaen_US
dc.contributor.authorJeong, Se-Yoonen_US
dc.contributor.authorKim, Hui-Yongen_US
dc.contributor.authorGutierrez, Diegoen_US
dc.contributor.authorKim, Min H.en_US
dc.contributor.editorBousseau, Adrien and McGuire, Morganen_US
dc.date.accessioned2021-07-12T12:13:47Z
dc.date.available2021-07-12T12:13:47Z
dc.date.issued2021
dc.description.abstractDespite advances in display technology, many existing applications rely on psychophysical datasets of human perception gathered using older, sometimes outdated displays. As a result, there exists the underlying assumption that such measurements can be carried over to the new viewing conditions of more modern technology. We have conducted a series of psychophysical experiments to explore contrast sensitivity using a state-of-the-art HDR display, taking into account not only the spatial frequency and luminance of the stimuli but also their surrounding luminance levels. From our data, we have derived a novel surroundaware contrast sensitivity function (CSF), which predicts human contrast sensitivity more accurately. We additionally provide a practical version that retains the benefits of our full model, while enabling easy backward compatibility and consistently producing good results across many existing applications that make use of CSF models. We show examples of effective HDR video compression using a transfer function derived from our CSF, tone-mapping, and improved accuracy in visual difference prediction.en_US
dc.description.sectionheadersPerception
dc.description.seriesinformationEurographics Symposium on Rendering - DL-only Track
dc.identifier.doi10.2312/sr.20211303
dc.identifier.isbn978-3-03868-157-1
dc.identifier.issn1727-3463
dc.identifier.pages205-214
dc.identifier.urihttps://doi.org/10.2312/sr.20211303
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/sr20211303
dc.publisherThe Eurographics Associationen_US
dc.subjectComputing methodologies
dc.subjectPerception
dc.subjectImage compression
dc.titleModeling Surround-aware Contrast Sensitivityen_US
Files
Original bundle
Now showing 1 - 3 of 3
Thumbnail Image
Name:
205-214.pdf
Size:
8.74 MB
Format:
Adobe Portable Document Format
Download
Thumbnail Image
Name:
hdr-transfer-egsr-supple.pdf
Size:
665.09 KB
Format:
Adobe Portable Document Format
Download
No Thumbnail Available
Name:
hdr-transfer-egsr-video.mp4
Size:
66.9 MB
Format:
Unknown data format
Download
Collections
Rendering 2021 - DL-only Track