Title :
A parametric technique for superresolution image reconstruction
Author :
Bresler, Yoram ; Litke, Scott P.
Author_Institution :
Dept. of Electr. & Comput. Eng., Illinois Univ., Urbana, IL, USA
Abstract :
A model-based approach for superresolution signal reconstruction from noisy bandlimited Fourier data is proposed. The approach combines the virtues of parametric and nonparametric techniques by maximum-likelihood fitting of the data by a mixture of exponentials and smooth basis functions. Performance bounds are derived and analyzed, and a model computationally efficient algorithm is described. The performance of the algorithm in simulations closely matches the bounds over a wide range of operating conditions. Overall, the reconstructions are far superior to those obtained by traditional Fourier transform processing
Keywords :
Fourier transforms; computerised picture processing; parameter estimation; exponentials; maximum-likelihood fitting; noisy bandlimited Fourier data; parametric technique; smooth basis functions; superresolution image reconstruction; Algorithm design and analysis; Bandwidth; Computational modeling; Fourier transforms; Image reconstruction; Image resolution; Instruments; Parametric statistics; Performance analysis; Reconstruction algorithms; Signal reconstruction; Signal resolution; Spatial resolution;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1990. ICASSP-90., 1990 International Conference on
Conference_Location :
Albuquerque, NM
DOI :
10.1109/ICASSP.1990.115587
