Surface Reconstruction and Image Enhancement via $L^1$-Minimization
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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.
SIAM Journal on Scientific Computing
author list (cited authors)
Dobrev, V., Guermond, J., & Popov, B.
complete list of authors
Dobrev, Veselin||Guermond, Jean-Luc||Popov, Bojan