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Optical Engineering

Fast approach to infrared image restoration based on shrinkage functions calibration
Author(s): Chengshuo Zhang; Zelin Shi; Baoshu Xu; Bin Feng
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Paper Abstract

High-quality image restoration in real time is a challenge for infrared imaging systems. We present a fast approach to infrared image restoration based on shrinkage functions calibration. Rather than directly modeling the prior of sharp images to obtain the shrinkage functions, we calibrate them for restoration directly by using the acquirable sharp and blurred image pairs from the same infrared imaging system. The calibration method is employed to minimize the sum of squared errors between sharp images and restored images from the blurred images. Our restoration algorithm is noniterative and its shrinkage functions are stored in the look-up tables, so an architecture solution of pipeline structure can work in real time. We demonstrate the effectiveness of our approach by testing its quantitative performance from simulation experiments and its qualitative performance from a developed wavefront coding infrared imaging system.

Paper Details

Date Published: 20 May 2016
PDF: 11 pages
Opt. Eng. 55(5) 053107 doi: 10.1117/1.OE.55.5.053107
Published in: Optical Engineering Volume 55, Issue 5
Show Author Affiliations
Chengshuo Zhang, Shenyang Institute of Automation (China)
Chinese Academy of Sciences (China)
Univ. of Chinese Academy of Sciences (China)
Zelin Shi, Shenyang Institute of Automation (China)
Univ. of Chinese Academy of Sciences (China)
Baoshu Xu, Shenyang Institute of Automation (China)
Univ. of Chinese Academy of Sciences (China)
Bin Feng, Shenyang Institute of Automation (China)
Univ. of Chinese Academy of Sciences (China)


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