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
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;
Conference_Titel :
Pattern Recognition, 1996., Proceedings of the 13th International Conference on
Conference_Location :
Vienna
Print_ISBN :
0-8186-7282-X
DOI :
10.1109/ICPR.1996.546851
