Enhancing Underwater Image Quality Assessment with Influential Perceptual Features
Enhancing Underwater Image Quality Assessment with Influential Perceptual Features
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Basel: MDPI AG
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English
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Basel: MDPI AG
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In the multifaceted field of oceanic engineering, the quality of underwater images is paramount for a range of applications, from marine biology to robotic exploration. This paper presents a novel approach in underwater image quality assessment (UIQA) that addresses the current limitations by effectively combining low-level image properties with hi...
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Enhancing Underwater Image Quality Assessment with Influential Perceptual Features
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TN_cdi_proquest_journals_2899406414
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2899406414
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ISSN
2079-9292
E-ISSN
2079-9292
DOI
10.3390/electronics12234760