Adaptive method of computational imaging based on super resolution technology

Hua Liu*, Quanxin Ding, Ronggang Zhu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Computational imaging opens up new ideas for complex system imaging solutions from the level of information generation and transmission. Based on the modeling of super-resolution technology, computational power is introduced into the traditional imaging in order to break through the limitations of this kind of photoelectric information processing. And the available configurations from single sensor to composite sensor are explored, and the global optimization and the system complex structure that control methods are fully used to solve the adaptive design problems of the composite linear compensation multi configuration systems. And the criteria group have shown the significant improvement of system resolution, which can be used as an important basis for engineering application.

Original languageEnglish
Title of host publicationHolography, Diffractive Optics, and Applications XI
EditorsYunlong Sheng, Changhe Zhou, Liangcai Cao
PublisherSPIE
ISBN (Electronic)9781510646452
DOIs
Publication statusPublished - 2021
EventHolography, Diffractive Optics, and Applications XI 2021 - Nantong, China
Duration: 10 Oct 202112 Oct 2021

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume11898
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceHolography, Diffractive Optics, and Applications XI 2021
Country/TerritoryChina
CityNantong
Period10/10/2112/10/21

Keywords

  • Optimization
  • Photonics
  • System Engineering

Fingerprint

Dive into the research topics of 'Adaptive method of computational imaging based on super resolution technology'. Together they form a unique fingerprint.

Cite this