DocumentCode
2287093
Title
Double deconvolution using a neural network
Author
Tong, Chong Sze
Author_Institution
Dept. of Math., Hong Kong Baptist Coll., Hong Kong
fYear
1994
fDate
13-16 Apr 1994
Firstpage
662
Abstract
The restoration of a blurred digital image usually requires accurate knowledge of the blurring process which, however, may not always be available. This paper describes a double iterative scheme for the simultaneous identification of the blurring and its removal by making use of the neural network paradigm and assumption of physical constraints on the blurring process
Keywords
image reconstruction; iterative methods; neural nets; blurred digital image restoration; blurring removal; double deconvolution; double iterative scheme; neural network; Deconvolution; Degradation; Educational institutions; Frequency estimation; Image restoration; Inverse problems; Mathematics; Neural networks; Optical filters; Optical noise;
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.1994.344824
Filename
344824
Link To Document