CIOMP OpenIR
Super resolution reconstruction of infrared images based on classified dictionary learning
Liu, F.; Han, P. L.; Wang, Y.; Li, X.; Bai, L.; Shao, X. P.
2018
发表期刊Infrared Physics & Technology
ISSN1350-4495
卷号90页码:146-155
摘要Infrared images always suffer from low-resolution problems resulting from limitations of imaging devices. An economical approach to combat this problem involves reconstructing high-resolution images by reasonable methods without updating devices. Inspired by compressed sensing theory, this study presents and demonstrates a Classified Dictionary Learning method to reconstruct high-resolution infrared images. It classifies features of the samples into several reasonable clusters and trained a dictionary pair for each cluster. The optimal pair of dictionaries is chosen for each image reconstruction and therefore, more satisfactory results is achieved without the increase in computational complexity and time cost. Experiments and results demonstrated that it is a viable method for infrared images reconstruction since it improves image resolution and recovers detailed information of targets. (C) 2018 Elsevier B.V. All rights reserved.
关键词Infrared imaging Super-resolution Dictionary learning Classified dictionaries orthogonal matching pursuit sparse representation clustering-algorithm superresolution nanoscopy filter color Instruments & Instrumentation Optics Physics
DOI10.1016/j.infrared.2018.03.008
收录类别SCI ; EI
引用统计
文献类型期刊论文
条目标识符http://ir.ciomp.ac.cn/handle/181722/61168
专题中国科学院长春光学精密机械与物理研究所
推荐引用方式
GB/T 7714
Liu, F.,Han, P. L.,Wang, Y.,et al. Super resolution reconstruction of infrared images based on classified dictionary learning[J]. Infrared Physics & Technology,2018,90:146-155.
APA Liu, F.,Han, P. L.,Wang, Y.,Li, X.,Bai, L.,&Shao, X. P..(2018).Super resolution reconstruction of infrared images based on classified dictionary learning.Infrared Physics & Technology,90,146-155.
MLA Liu, F.,et al."Super resolution reconstruction of infrared images based on classified dictionary learning".Infrared Physics & Technology 90(2018):146-155.
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