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Proceedings Paper

Fast numerical methods for total variation minimization in image reconstruction
Author(s): Curtis R. Vogel; Mary E. Oman
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Paper Abstract

We apply a total variation minimization technique for the deblurring of 2D images. This yields an integro-differential equation with a nonlinear elliptic partial differential operator. In this paper we discuss a numerical scheme for the efficient solution of this integro-differential equation. Results are presented for a doconvolusion problem arising in ground-based astronomical imaging.

Paper Details

Date Published: 7 June 1995
PDF: 9 pages
Proc. SPIE 2563, Advanced Signal Processing Algorithms, (7 June 1995); doi: 10.1117/12.211412
Show Author Affiliations
Curtis R. Vogel, Montana State Univ. (United States)
Mary E. Oman, Iowa State Univ. (United States)

Published in SPIE Proceedings Vol. 2563:
Advanced Signal Processing Algorithms
Franklin T. Luk, Editor(s)

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