A self-referencing level-set method for image reconstruction fromsparse Fourier samples
Jong Chul Ye
Bresler, Y.
Moulin, P.
Coordinated Sci. Lab., Illinois Univ., Urbana, IL ;
This paper appears in: Image Processing, 2001. Proceedings. 2001 International Conference on
Publication Date: 7-10 Oct 2001
Volume: 2,
On page(s): 33-36 vol.2
Meeting Date: 10/07/2001 - 10/10/2001
Location: Thessaloniki, Greece
ISBN: 0-7803-6725-1
References Cited: 8
INSPEC Accession Number: 7219449
Digital Object Identifier: 10.1109/ICIP.2001.958417
Current Version Published: 2002-08-07
Abstract
We address image estimation from sparse Fourier samples. The
problem is formulated as joint estimation of the supports of unknown
sparse objects in the image, and pixel values on these supports. The
domain and the pixel values are alternately estimated using the
level-set method and the conjugate gradient method, respectively. Our
level-set evolution shows a unique switching behavior, which stabilizes
the level-set evolution and removes the re-initialization steps in
conventional level set approaches
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