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PICNIQ: Pairwise Comparisons for Natural Image Quality Assessment
March 18, 2024, 4:44 a.m. | Nicolas Chahine, Sira Ferradans, Jean Ponce
cs.CV updates on arXiv.org arxiv.org
Abstract: Blind image quality assessment (BIQA) approaches, while promising for automating image quality evaluation, often fall short in real-world scenarios due to their reliance on a generic quality standard applied uniformly across diverse images. This one-size-fits-all approach overlooks the crucial perceptual relationship between image content and quality, leading to a 'domain shift' challenge where a single quality metric inadequately represents various content types. Furthermore, BIQA techniques typically overlook the inherent differences in the human visual system …
abstract arxiv assessment blind cs.cv diverse evaluation image images natural quality relationship reliance standard type world
More from arxiv.org / cs.CV updates on arXiv.org
Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs
1 day, 11 hours ago |
arxiv.org
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