Please use this identifier to cite or link to this item: https://doi.org/10.1049/ip-vis:20010143
Title: Retrieval of symmetrical image blur using zero sheets
Authors: Premaratne, P.
Ko, C.C. 
Issue Date: Feb-2001
Source: Premaratne, P., Ko, C.C. (2001-02). Retrieval of symmetrical image blur using zero sheets. IEE Proceedings: Vision, Image and Signal Processing 148 (1) : 65-69. ScholarBank@NUS Repository. https://doi.org/10.1049/ip-vis:20010143
Abstract: The analytically continued Fourier transform of a two-dimensional image vanishes to zero on a two-dimensional surface embedded in a four-dimensional space. This surface uniquely characterises the image and is known as a 'zero sheet'. Since the manipulation of a function in four-dimensional space is cumbersome, the projections of zero sheets, known as 'zero tracks' are calculated. This knowledge of zero sheets can be extended to a number of practical applications including image processing. Image restoration can be realised without prior knowledge of the point spread function, i.e. blind deconvolution is possible even when only a single blurred image is given. If the blurred image concerned contains a point spread function with diagonal symmetry, the point zeros calculated row-wise and column-wise contain some similarities, which supports retrieval of both the true image and a point spread function. This novel scheme performs the separation effectively in the absence of contamination.
Source Title: IEE Proceedings: Vision, Image and Signal Processing
URI: http://scholarbank.nus.edu.sg/handle/10635/57269
ISSN: 1350245X
DOI: 10.1049/ip-vis:20010143
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

7
checked on Dec 14, 2017

WEB OF SCIENCETM
Citations

6
checked on Nov 16, 2017

Page view(s)

23
checked on Dec 17, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.