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Identification of models of imaging systems in the class of filters with infinite impulse response
V.A. Fursov, S.I. Parfenov
Image Processing Systems Institute of RAS

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Pages: 140-146

Full text of article: Russian language.

Abstract:
The article considers the peculiarities of the problem of identifying linear models of distorting systems in the class of filters with an infinite impulse response in the absence of a priori information on the distribution of measurement errors. The authors develop an algebraic approach based on the direct adjustment of vector of measurement errors on the basis of a small number of its components, which are defined using additional information contained in the residuals. Experimental results are presented that demonstrate the fundamental possibility of a significant increase in the accuracy of estimates in comparison with the conventional least square method .

Citation:
Fursov VA, Parfenov SI. Identification of models of imaging systems in the class of filters with infinite impulse response. Computer Optics 1998; 18: 140-146.

References:
  1. Fursov VA. Image restoration using filters with finite impulse response by means of direct identification of inverse tract [In Russian]. Computer Optics 1996; 16: 103-108.
  2. Dudgeon DE, Mersereau RM. Multidimensional digital signal processing. Englewood Cliffs: Prentice Hall Inc; 1984.
  3. Demidenko EZ. Linear and nonlinear regression [In Russian]. Moscow: "Finansy i Statististika" Publisher; 1981.
  4. Fursov VA. Identification of optical distorting systems with selecting image informative fragments. Workshop on Digital Image Processing and Computer Graphics. Proc SPIE 1995; 2363: 62-68.
  5. Fursov VA. Constructing unified identification algorithms using a small number of observations for adaptive control and navigation systems. Proc SPIE 1997; 3087: 34-44 .

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