April 15, 2024, 4:45 a.m. | Peibei Cao, Rafal K. Mantiuk, Kede Ma

cs.CV updates on arXiv.org arxiv.org

arXiv:2310.12877v4 Announce Type: replace-cross
Abstract: High dynamic range (HDR) rendering has the ability to faithfully reproduce the wide luminance ranges in natural scenes, but how to accurately assess the rendering quality is relatively underexplored. Existing quality models are mostly designed for low dynamic range (LDR) images, and do not align well with human perception of HDR image quality. To fill this gap, we propose a family of HDR quality metrics, in which the key step is employing a simple inverse …

abstract arxiv assessment cs.cv dynamic eess.iv image images low natural optimization quality rendering type

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