Title :
Block-adaptive image identification and restoration
Author :
Lagendijk, Reginald L. ; Biemond, Jan
Author_Institution :
Dept. of Electr. Eng., Delft Univ. of Technol., Netherlands
Abstract :
A new block-adaptive image identification and restoration method for images degraded by slowly varying blurs is described. Essentially, the proposed method assumes that the blur is stationary within a small subimage, and locally identifies the image and blurs parameters. The iterative expectation-maximization (EM) image identification-restoration algorithm is used in a semi-recursive manner to identify and restore overlapping subimages
Keywords :
iterative methods; parameter estimation; picture processing; block adaptive image restoration; block-adaptive image identification; blurs parameters; image identification-restoration algorithm; iterative expectation-maximization; overlapping subimages; parameter identification; slowly varying blurs; stationary blur; Astronomy; Convolution; Degradation; Forensics; Image restoration; Information theory; Iterative algorithms; Linear systems; Pixel; Time varying systems;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on
Conference_Location :
Toronto, Ont.
Print_ISBN :
0-7803-0003-3
DOI :
10.1109/ICASSP.1991.150908
