An Algebraic Approach to Image Restoration Filter Design

Author

John A. Stuller, Missouri University of Science and TechnologyFollow

Abstract

The Image Restoration Problem in a Linear Imaging System is Formulated as the Problemof Minimizing the Effective Radius of the System Point Spread Function Subject to a Constraint on Relative Noise Gain. the Problem is Solved by Reducing the Imaging System under Consideration to an Equivalent Sampled System and Subsequently Optimizing the Sampled System by Algebraic Techniques. the Analysis Applies to Unsampled, Line Scanned, and Sampled Systems and Explicitely Accounts for Spectrum Foldover. Truncation Problems Are Avoided in the Discrete Case by Formulating the Optimum Processing Array as the Solution to a Finite Dimensional Eigenvector Equation. © 1972 Academic Press, Inc.

Recommended Citation

J. A. Stuller, "An Algebraic Approach to Image Restoration Filter Design," Computer Graphics and Image Processing, vol. 1, no. 2, pp. 107 - 122, Elsevier, Jan 1972.

The definitive version is available at https://doi.org/10.1016/S0146-664X(72)80010-8

Department(s)

Electrical and Computer Engineering

International Standard Serial Number (ISSN)

0146-664X

Document Type

Article - Journal

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2023 Elsevier, All rights reserved.

Publication Date

01 Jan 1972