DocumentCode
2405861
Title
The reconstruction of signals and images from the noisy Fourier transform phase by means of the generalized difference principle
Author
Akhmetshin, A.M. ; Lyuboshenko, I.V.
Author_Institution
Fac. of Radiophys., Dnepropetrovsk State Univ., Ukraine
Volume
2
fYear
1996
fDate
25-29 Aug 1996
Firstpage
370
Abstract
In the paper the problem of reconstruction of signals and images with finite support region from the noisy Fourier transform phase function is considered. The problem turns out to be ill-posed with respect to distortion in a signal or image phase. A regularizing algorithm is proposed that significantly improves an estimate of a signal or image reconstructed from the noisy phase
Keywords
Fourier transforms; noise; signal reconstruction; distortion; finite support region; generalized difference principle; ill-posed problem; image reconstruction; noisy Fourier transform phase; regularizing algorithm; signal reconstruction; Fourier transforms; Frequency; Image coding; Image reconstruction; Information processing; Nondestructive testing; Phase distortion; Phase estimation; Phase noise; Signal processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1996., Proceedings of the 13th International Conference on
Conference_Location
Vienna
ISSN
1051-4651
Print_ISBN
0-8186-7282-X
Type
conf
DOI
10.1109/ICPR.1996.546851
Filename
546851
Link To Document