NDLI: One method for restoration of blurred images

Content Provider	Springer Nature Link
Author	Fazylov, V. R. Shcherbakova, N. K.
Copyright Year	2009
Abstract	A new method is proposed to reduce image distortions caused by random noise and rectilinear uniform motion of the object or recording system. The of a restoration model is based on a statistical regularization method, and the obtained system of linear equations and inequalities is solved using a multistep support vector method. An advantage of this approach is that the iterative nature of the algorithm makes it possible to take into account the a priori information on the solution represented by the inequalities. The results of numerical experiments showing the efficiency of the algorithm are given.
Starting Page	269
Ending Page	271
Page Count	3
File Format	PDF
ISSN	87566990
Journal	Optoelectronics, Instrumentation and Data Processing
Volume Number	45
Issue Number	3
e-ISSN	19347944
Language	English
Publisher	Allerton Press, Inc.
Publisher Date	2009-07-28
Publisher Place	Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	statistical regularization restoration of blurred images multistep support vector method Applied Optics, Optoelectronics, Optical Devices
Content Type	Text
Resource Type	Article
Subject	Instrumentation Condensed Matter Physics Electrical and Electronic Engineering

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One method for restoration of blurred images