Diagnostics of a Linear Homogeneous Distorting Operator on the Observed Image Spectrum

• Published in: Journal of communications technology & electronics Vol. 65; no. 6; pp. 725 - 734
• Main Author: Chochia, P. A.
• Format: Journal Article
• Language: English
• Published: Moscow Pleiades Publishing 01.06.2020; Springer; Springer Nature B.V
• Subjects: Algorithms; Communications Engineering; Diagnostic imaging; Diagnostic systems; Distortion; Engineering; Networks; Parameter identification; Theory and Methods of Information Processing; superposition of distortions; blind estimation; distorting operator assessment; Gaussian blur; circular blur; average radial profile; motion blur; average directional profile
• ISSN: 1064-2269; 1555-6557
• DOI: 10.1134/S106422692006008X

—In the study, we examine the problem of diagnosing distortions in the resulting image, the so-called “blind estimation” task. The questions of identification of the type and parameters of linear smoothing homogeneous distorting operators of three types are investigated: circular form with a rectangular profile, circular form with a Gaussian profile, and linear form with a rectangular profile. The identification of distortions is carried out by means of the image spectrum density analysis using the average radial profile and average directional profile . The diagnostic algorithms for each of the considered distortion types are proposed and studied. The influence of noise and data accuracy on the result reliability and the capabilities of diagnostic algorithms in the case of simultaneous superposition of several distortions are demonstrated.