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Recovering missing slices of the discrete fourier transform using ghosts

Chandra, Shekhar S; Svalbe, Imants D; Guedon, Jeanpierre; Kingston, Andrew; Normand, Nicolas

Description

The discrete Fourier transform (DFT) underpins the solution to many inverse problems commonly possessing missing or unmeasured frequency information. This incomplete coverage of the Fourier space always produces systematic artifacts called Ghosts. In this paper, a fast and exact method for deconvolving cyclic artifacts caused by missing slices of the DFT using redundant image regions is presented. The slices discussed here originate from the exact partitioning of the Discrete Fourier Transform...[Show more]

CollectionsANU Research Publications
Date published: 2012
Type: Journal article
URI: http://hdl.handle.net/1885/66921
Source: IEEE Transactions on Image Processing
DOI: 10.1109/TIP.2012.2206033

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