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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3032108
Abstract: Surface defect detection based on computer vision remains a challenging task due to the uneven illumination, low contrast and miscellaneous patterns of defects. Current methods usually present undesirable detection accuracy and lack adaptability for the…
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Keywords:
image decomposition;
surface;
uneven illumination;
intrinsic image ... See more keywords
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Published in 2018 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2018.2820041
Abstract: Intrinsic image decomposition refers to recover the albedo and shading from images, which is an ill-posed problem in signal processing. As realistic labeled data are severely lacking, it is difficult to apply learning methods in…
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Keywords:
using synthesized;
image;
learning intrinsic;
image decomposer ... See more keywords
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Published in 2021 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2020.3024687
Abstract: Intrinsic image analysis plays an important role for image understanding, since it can provide accurate reflectance, shape and illumination information of the scene. However, intrinsic image analysis is an ill-posed problem which need to apply…
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Keywords:
image;
network;
reflectance image;
intrinsic image ... See more keywords
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Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3146063
Abstract: Hyperspectral intrinsic image decomposition (HyperIID) has been proved to be a very useful approach to reduce the spectral uncertainty in the remote sensing imaging process and improve classification. In this paper, a new HyperIID with…
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Keywords:
information;
decomposition;
spatial information;
hyperspectral intrinsic ... See more keywords
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Published in 2017 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2017.2703078
Abstract: In this paper, we propose to introduce intrinsic image decomposition priors into decomposition models for contrast enhancement. Since image decomposition is a highly ill-posed problem, we introduce constraints on both reflectance and illumination layers to…
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Keywords:
image;
illumination;
contrast enhancement;
intrinsic image ... See more keywords
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Published in 2019 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2018.2832059
Abstract: We present a physically-based approach for simulating makeup in face images. The key idea is to decompose the face image into intrinsic image layers – namely albedo, diffuse shading, and specular highlights – which are…
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Keywords:
physically based;
face;
intrinsic image;
based simulation ... See more keywords