Title :
A method to decrease nonlinear image reconstruction distortions caused by measurement errors
Author_Institution :
Inst. of Appl. Astron., Acad. of Sci., St. Petersburg
Abstract :
The problem of nonlinear distortions of images reconstructed from incomplete and noisy spectrum data using nonlinear optimization methods such as the maximum entropy method is considered. To decrease the level of nonlinear distortions it is proposed to seek a solution in the space of complex functions using the generalized maximum entropy method instead of classical one
Keywords :
error statistics; image reconstruction; measurement; measurement errors; optimisation; spectral analysis; complex functions; generalized maximum entropy method; incomplete data; maximum entropy method; measurement errors; noisy spectrum data; nonlinear distortions reduction; nonlinear image reconstruction distortions; nonlinear optimization methods; Entropy; Frequency domain analysis; Image reconstruction; Measurement errors; Noise level; Nonlinear distortion; Optimization methods; Radio astronomy; Signal to noise ratio; US Department of Transportation;
Conference_Titel :
Signals, Systems, and Electronics, 1995. ISSSE '95, Proceedings., 1995 URSI International Symposium on
Conference_Location :
San Francisco
Print_ISBN :
0-7803-2516-8
DOI :
10.1109/ISSSE.1995.497996
