DocumentCode :
2288473
Title :
Restoration of motion blurred images by MDL and piecewise constant image model
Author :
Liyan, Fu ; Olsen, S.I.
Author_Institution :
Dept. of Comput. Sci., Copenhagen Univ., Denmark
fYear :
1994
fDate :
13-16 Apr 1994
Firstpage :
272
Abstract :
A novel algebraic approach to restore images blurred by motion is presented. Rather than using the LS or LMS criteria, the objective function is established on the basis of the Minimal Description Length (MDL) criterion and a piecewise constant model of underlying image. In this way, the a priori knowledge of the image can be included in the objective function. Computer simulations show that the method is robust
Keywords :
image coding; image reconstruction; motion estimation; piecewise-linear techniques; MDL criterion; computer simulations; image coding; minimal description length; motion blurred images restoration; objective function; piecewise constant image; piecewise constant model; Computer science; Computer simulation; Image processing; Image restoration; Image sampling; Least squares approximation; Neural networks; Quantization; Robustness; Speech processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Speech, Image Processing and Neural Networks, 1994. Proceedings, ISSIPNN '94., 1994 International Symposium on
Print_ISBN :
0-7803-1865-X
Type :
conf
DOI :
10.1109/SIPNN.1994.344914
Filename :
344914
Link To Document :
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