Nonuniformity correction of infrared image based on motion estimation adaptive neural network

Qun Ma; Meirong Zhao; Lin Sun; Yelong Zheng; Bing Liu; Zhaomin Guo

doi:10.1117/12.2614969

15 February 2022 Nonuniformity correction of infrared image based on motion estimation adaptive neural network

Qun Ma, Meirong Zhao, Lin Sun, Yelong Zheng, Bing Liu, Zhaomin Guo

Proceedings Volume 12166, Seventh Asia Pacific Conference on Optics Manufacture and 2021 International Forum of Young Scientists on Advanced Optical Manufacturing (APCOM and YSAOM 2021); 121662E (2022) https://doi.org/10.1117/12.2614969
Event: Seventh Asia Pacific Conference on Optics Manufacture and 2021 International Forum of Young Scientists on Advanced Optical Manufacturing (APCOM and YSAOM 2021), 2021, Hong Kong, Hong Kong

Abstract

In infrared imaging system, nonuniformity is the key factor limiting the improvement of imaging quality. In this paper, an adaptive neural network nonuniformity correction algorithm based on motion detection is proposed. The motion estimation algorithm based on gray projection is used to select the learning reference frame of neural network algorithm. Combined with edge detection algorithm and neighborhood variance information, the learning step size of neural network is adjusted adaptively, it effectively solves the “ghost effect” caused by insufficient scene motion in the traditional neural network algorithm. The algorithm automatically extracts effective image frames from the actual scene and updates the correction parameters, without planning the correction area and scene motion mode, and realizes automatic real-time correction.

Citation Download Citation

Qun Ma, Meirong Zhao, Lin Sun, Yelong Zheng, Bing Liu, and Zhaomin Guo "Nonuniformity correction of infrared image based on motion estimation adaptive neural network", Proc. SPIE 12166, Seventh Asia Pacific Conference on Optics Manufacture and 2021 International Forum of Young Scientists on Advanced Optical Manufacturing (APCOM and YSAOM 2021), 121662E (15 February 2022); https://doi.org/10.1117/12.2614969

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available