Klimenko V. Adaptive regularized restoration of discrete images in information processing systems.

Українська версія

Thesis for the degree of Candidate of Sciences (CSc)

State registration number

0404U004768

Applicant for

Specialization

  • 05.13.06 - Інформаційні технології

25-11-2004

Specialized Academic Board

Д 41.052.01

Odessa National Polytechnic University

Essay

The aim of the dissertation is to improve discrete images restored by inverse synthesis method in priority uncertain conditions on basis of adaptive choice of the optimal regularization parameter of restoration operator. The analytical estimation method of hermetical matrix sensibility of observed processes to the random disturbance of their elements is improved. The analytical deformation model of discrete images in condition of random disturbance of the restoration operator is developed. The mathematical algorithms of adaptive choice of optimal regularization parameter of inverse estimation matrix of deformation operator are synthesized. System restoration of discrete image with adaptive choice of optimal regularization parameter is recommended . Complex simulation of process restoration of discrete images in random disturbance conditions of inverse restoration operator is developed. Improvement of discrete images restored by inverse synthesis method in priority uncertain conditions is achieved.

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