Open AccessImage definition assessment based on Tchebichef moments for micro-imaging
Author(s) -
Wenjie Li,
Qinnan Zhang,
Liu Zhong,
Xiaoxu Liu,
Jing Tian
Publication year - 2019
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.27.034888
Subject(s) - point spread function , optics , moment (physics) , logarithm , computer science , noise (video) , image processing , feature (linguistics) , image quality , sensitivity (control systems) , spatial frequency , dynamic range , physics , artificial intelligence , image (mathematics) , mathematics , mathematical analysis , linguistics , philosophy , classical mechanics , electronic engineering , engineering
This paper proposes a Tchebichef moment (TM)-based image definition assessment (IDA) method that employs the difference in the logarithmic spectra (DLS). To avoid the influence of the original image, the essential element point spread function (PSF) is extracted from the DLS to characterize the IDA function uniquely. The amplification of the PSF spot radius to the defocus amount in the micro-imaging system enhances the featural differences among the DLSs, thereby improving the sensitivity to the defocus amount. The DLS with an obvious geometric feature variation is described by a TM with a low order, which improves the anti-noise performance. The performed simulation and experiment verified the superiority of the proposed method.