A self-adaptive nonuniformity correction algorithm for infrared images combined with two-point correction along the rim

Chongliang Liu*, Weiqi Jin, Yan Chen, Bin Liu, Yang Cao, Xiu Liu

*Corresponding author for this work

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

6 Citations (Scopus)

Abstract

Nonuniformity correction plays an important role in improving image quality of the infrared focal plane array. A self-adaptive nonuniformity correction algorithm for infrared images combined with two-point correction along the rim is proposed in this paper. With the help of perimeter blackbody in low and high temperature, two-point correction is executed initially to perimeter detectors. Then based on the scene information and shift between adjacent frames, a special algebraic algorithm is proposed to transport correction parameters from perimeter detectors to those interior uncorrected ones. In this way, the correction parameters of the whole field of view (FOV) are calculated. All calculations are algebraic, with a low computation load. This algorithm can realize adaptive two-point correction without covering the central FOV rapidly. It proves to get a satisfying correction effect after being tested by using real infrared images.

Original languageEnglish
Title of host publicationICS 2010 - International Computer Symposium
Pages240-245
Number of pages6
DOIs
Publication statusPublished - 2010
Event2010 International Computer Symposium, ICS 2010 - Tainan, Taiwan, Province of China
Duration: 16 Dec 201018 Dec 2010

Publication series

NameICS 2010 - International Computer Symposium

Conference

Conference2010 International Computer Symposium, ICS 2010
Country/TerritoryTaiwan, Province of China
CityTainan
Period16/12/1018/12/10

Keywords

  • Infrared focal plane array
  • Nonuniformity correction
  • Perimeter blackbody
  • Scene-based

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