Surface Reconstruction and Image Enhancement via $L^1$-Minimization

Veselin Dobrev, Jean-Luc Guermond, Bojan Popov

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

A surface reconstruction technique based on minimization of the total variation of the gradient is introduced. Convergence of the method is established, and an interior-point algorithm solving the associated linear programming problem is introduced. The reconstruction algorithm is illustrated on various test cases including natural and urban terrain data, and enhancement oflow-resolution or aliased images. Copyright © by SIAM.
Original languageEnglish (US)
Pages (from-to)1591-1616
Number of pages26
JournalSIAM Journal on Scientific Computing
Volume32
Issue number3
DOIs
StatePublished - Jan 2010
Externally publishedYes

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