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Published in 2017 at "Journal of Scientific Computing"
DOI: 10.1007/s10915-016-0280-z
Abstract: In this article, we propose a class of piecewise-smooth image segmentation models in a variational framework. The models involve $$L^1$$L1 data fidelity measures and assume that an image can be approximated by the sum of…
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Keywords:
image;
data fidelity;
piecewise smooth;
image segmentation ... See more keywords
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Published in 2022 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2022.3143006
Abstract: Classic image-restoration algorithms use a variety of priors, either implicitly or explicitly. Their priors are hand-designed and their corresponding weights are heuristically assigned. Hence, deep learning methods often produce superior image restoration quality. Deep networks…
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Keywords:
hallucination data;
image restoration;
restoration;
image ... See more keywords