Title :
Hierarchical blur identification
Author :
Lagendijk, Reginald ; Biemond, Jan ; Boekee, Dick
Author_Institution :
Dept. of Electr. Eng., Delft Univ. of Technol., Netherlands
Abstract :
A hierarchical blur identification method which is able to identify severe blurs having a relatively large support size is proposed. The method is based on the expectation-maximization algorithm and begins by identifying a low-pass version of the point-spread function (PSF) from a reduced-resolution version of the blurred image. The result is used to initialize the identification of the PSF from a higher-resolution image. By repeating this process, the support size and resolution of the identified PSF are gradually increased, achieving an efficient identification of large PSFs
Keywords :
picture processing; expectation-maximization algorithm; hierarchical blur identification; image restoration; point-spread function; resolution; support size; Convergence; Degradation; Expectation-maximization algorithms; Gaussian noise; Image resolution; Image restoration; Information theory; Maximum likelihood estimation; Transfer functions; White noise;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1990. ICASSP-90., 1990 International Conference on
Conference_Location :
Albuquerque, NM
DOI :
10.1109/ICASSP.1990.115868
