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