Title :
A new direct algorithm for image reconstruction from Fourier transform magnitude
Author :
Izraelevitz, David ; Lim, Jae S.
fDate :
4/1/1987 12:00:00 AM
Abstract :
In this paper we present a new direct solution to the problem of reconstructing a two-dimensional discrete signal of finite support from knowledge of only its Fourier transform magnitude and support. Using the autocorrelation function of the unknown signal, zeros are calculated of a polynomial whose coefficients correspond to the unknown image or the image reversed. From these zeros, a set of linear equations is developed whose solution yields either the original image or the image rotated by 180°.
Keywords :
Astronomy; Autocorrelation; Equations; Fourier transforms; Image reconstruction; Image sampling; Iterative algorithms; Laboratories; Optical microscopy; Polynomials;
Journal_Title :
Acoustics, Speech and Signal Processing, IEEE Transactions on
DOI :
10.1109/TASSP.1987.1165149