Physics-based image enhancement for infrared thermography

被引:58
|
作者
Holland, Stephen D. [1 ,2 ]
Renshaw, Jeremy [2 ,3 ]
机构
[1] Iowa State Univ, Dept Aerosp Engn, Ames, IA 50011 USA
[2] Iowa State Univ, Ctr Nondestruct Evaluat, Ames, IA 50011 USA
[3] Iowa State Univ, Dept Mat Sci & Engn, Ames, IA 50011 USA
关键词
Flash thermography; Vibrothermography; Sonic infrared; Sonic IR; Image processing; Image enhancement; Laplacian filter;
D O I
10.1016/j.ndteint.2010.04.004
中图分类号
TB3 [工程材料学];
学科分类号
0805 ; 080502 ;
摘要
Thermal imaging with an infrared camera can be used to view the location and intensity of heat sources in space and time. In a thermal conductor, thermal diffusion blurs out those heat sources. Knowledge of the physics of thermal diffusion can be used to enhance the spatial and temporal resolution of thermal images. In two dimensions, quantitative reconstruction of the heat source intensity is possible. The same algorithm applied to three-dimensional heat flows provides dramatic improvements in temporal and spatial resolution of the thermal images. Performance is illustrated both in theory and by experiment. An application example demonstrates utility to nondestructive evaluation. (C) 2010 Elsevier Ltd. All rights reserved.
引用
收藏
页码:440 / 445
页数:6
相关论文
共 50 条
  • [21] Physics-based Fast Single Image Fog Removal
    Yu, Jing
    Xiao, Chuangbai
    Li, Dapeng
    2010 IEEE 10TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS (ICSP2010), VOLS I-III, 2010, : 1048 - +
  • [22] Infrared thermography based fault diagnosis of diesel engines using convolutional neural network and image enhancement
    Wang, Rongcai
    Yan, Hao
    Dong, Enzhi
    Cheng, Zhonghua
    Li, Yuan
    Jia, Xisheng
    OPEN PHYSICS, 2024, 22 (01):
  • [23] Realistic infrared sequence generation by physics-based infrared target modeling for infrared search and track
    Kim, Sungho
    Yang, Yukyung
    Choi, Byungin
    OPTICAL ENGINEERING, 2010, 49 (11)
  • [24] IMAGE RESOLUTION IN INFRARED THERMOGRAPHY
    MACEY, DJ
    OLIVER, R
    PHYSICS IN MEDICINE AND BIOLOGY, 1972, 17 (04): : 563 - &
  • [25] Physics-Based Generative Adversarial Models for Image Restoration and Beyond
    Pan, Jinshan
    Dong, Jiangxin
    Liu, Yang
    Zhang, Jiawei
    Ren, Jimmy
    Tang, Jinhui
    Tai, Yu-Wing
    Yang, Ming-Hsuan
    IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021, 43 (07) : 2449 - 2462
  • [26] Physics-based extraction of intrinsic images from a single image
    Chung, YC
    Wang, JM
    Bailey, RR
    Chen, SW
    Chang, SL
    Cherng, S
    PROCEEDINGS OF THE 17TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 4, 2004, : 693 - 696
  • [27] PHYSICS-BASED ILLUMINANT COLOR ESTIMATION AS AN IMAGE SEMANTICS CLUE
    Riess, Christian
    Angelopoulou, Elli
    2009 16TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-6, 2009, : 689 - 692
  • [28] Physics-based models for image analysis/synthesis and geometric design
    Terzopoulos, D
    INTERNATIONAL CONFERENCE ON RECENT ADVANCES IN 3-D DIGITAL IMAGING AND MODELING, PROCEEDINGS, 1997, : 190 - 195
  • [29] Intrinsic image decomposition using physics-based cues and CNNs
    Das, Partha
    Karaoglu, Sezer
    Gevers, Theo
    COMPUTER VISION AND IMAGE UNDERSTANDING, 2022, 223
  • [30] Is Physics-based Liveness Detection Truly Possible with a Single Image?
    Bai, Jiamin
    Ng, Tian-Tsong
    Gao, Xinting
    Shi, Yun-Qing
    2010 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, 2010, : 3425 - 3428