Department of Mathematics
"A Dual Model for Total Variation-Based Image Restoration"
Thursday September 23rd, 12:20-1:10, Lind 409
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Jamylle Carter Department of Mathematics "A Dual Model for Total Variation-Based Image Restoration" Thursday September 23rd, 12:20-1:10, Lind 409 |
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Abstract
This talk will describe a computational method for the inverse problem of
edge-preserving image restoration. Total Variation (TV) regularization removes
noise from an image while retaining its edges. We solve an equivalent dual version
of the TV problem. Images restored using this dual approach will have crisp edges
(discontinuities), whereas images recovered under earlier primal methods may contain
blurred edges. Joint work with Tony F. Chan, Pep Mulet, and Lieven Vandenberghe.