Open AccessInfluence of lenslet number on performance of image restoration algorithms for the TOMBO imaging system
Author(s) -
Yuan Gao,
Lizhi Dong,
Ping Yang,
GongJian Tang,
Bing Xu
Publication year - 2014
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.22.008298
Subject(s) - image restoration , algorithm , optics , image processing , computer science , superresolution , image quality , lens (geology) , image (mathematics) , artificial intelligence , physics
In this paper the influence of the number of lenslets on the performance of image restoration algorithms for the thin observation module by bound optics (TOMBO) imaging system was investigated, and the lenslet number was optimized to achieve thin system and high imaging performance. Subimages with different numbers of lenslets were generated following the TOMBO observation model, and image restoration algorithms were applied to evaluate the imaging performance of the TOMBO system. The optimal lenslet number was determined via theoretical performance optimization and verified via experimental comparisons of angular resolutions of two TOMBO systems and a conventional single-lens system.