A Novel Deeply-Learned Image Quality Analysis Algorithm for Clustering
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3506742
Abstract: Addressing the limitations of existing deep clustering methods, which struggle with variations in image size and quality and are vulnerable to data noise and model deviations, we propose a deeply-learned clustering paradigm in an unsupervised… read more here.
Keywords: quality; deeply learned; learned image; image quality ... See more keywords
Extended depth-of-field infrared imaging with deeply learned wavefront coding.
Sign Up to like & getrecommendations! Published in 2022 at "Optics express"
DOI: 10.1364/oe.471443
Abstract: Wavefront coding (WFC) techniques, including optical coding and digital image processing stages, enable significant capabilities for extending the depth of field of imaging systems. In this study, we demonstrated a deeply learned far-infrared WFC camera… read more here.
Keywords: wavefront coding; deeply learned; field infrared; extended depth ... See more keywords
Wavelength encoding spectral imaging based on the combination of deeply learned filters and an RGB camera.
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DOI: 10.1364/oe.506997
Abstract: Hyperspectral imaging is a critical tool for gathering spatial-spectral information in various scientific research fields. As a result of improvements in spectral reconstruction algorithms, significant progress has been made in reconstructing hyperspectral images from commonly… read more here.
Keywords: rgb camera; spectral reconstruction; wavelength encoding; deeply learned ... See more keywords