DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Kim, Min H. | - |
dc.contributor.advisor | 김민혁 | - |
dc.contributor.author | Yi, Shinyoung | - |
dc.date.accessioned | 2021-05-13T19:38:09Z | - |
dc.date.available | 2021-05-13T19:38:09Z | - |
dc.date.issued | 2020 | - |
dc.identifier.uri | http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=925152&flag=dissertation | en_US |
dc.identifier.uri | http://hdl.handle.net/10203/284991 | - |
dc.description | 학위논문(석사) - 한국과학기술원 : 전산학부, 2020.8,[iv, 27 p. :] | - |
dc.description.abstract | Despite 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many existing applications rely on psychophysical datasets of human perception gathered using older, sometimes outdated displays.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 surround-aware 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. | - |
dc.language | eng | - |
dc.publisher | 한국과학기술원 | - |
dc.subject | human visual perception▼acontrast sensitivity function▼aHDR image processing▼apsychophysics▼asurround luminance | - |
dc.subject | 인간 시각 인지▼a대비민감도함수▼aHDR 영상처리▼a정신물리학▼a주변부 휘도 | - |
dc.title | Modeling surround-aware contrast sensitivity for HDR applications | - |
dc.title.alternative | HDR 영상 기술을 위한 주변부 적응적 대비민감도 모델링 | - |
dc.type | Thesis(Master) | - |
dc.identifier.CNRN | 325007 | - |
dc.description.department | 한국과학기술원 :전산학부, | - |
dc.contributor.alternativeauthor | 이신영 | - |
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