transformlearning.csl illinois.edu

Transform Learning Sparse Representations at Scale

Sparse Representations at Scale. Our research has demonstrated promising performance for transform learning methods in sparse representation, image and video denoising, classification, and compressed sensing MRI and CT image reconstruction tasks. We also established several convergence guarantees for our transform learning or image reconstruction schemes, which were previously lacking for prior adaptive dictionary-based methods.

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Image Formation and Processing Group, University of Illinois

IFP Group at the University of Illinois. Most of the faculty and student members of this group are affiliated with the Department of Electrical and Computer Engineering. At the University of Illinois at Urbana-Champaign. The research of the IFP group takes place in the Image Laboratory.

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Transform Learning Sparse Representations at Scale

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Sparse Representations at Scale. Our research has demonstrated promising performance for transform learning methods in sparse representation, image and video denoising, classification, and compressed sensing MRI and CT image reconstruction tasks. We also established several convergence guarantees for our transform learning or image reconstruction schemes, which were previously lacking for prior adaptive dictionary-based methods.

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