A Deconvolutional Reconstruction Method Based on Lucy-Richardson Algorithm for Joint Scanning Laser Thermography

Joint scanning laser thermography (JLST) is well-known for its efficiency to overcome the field of view (FOV) limitation of thermal imagers. However, JSLT requires a data reconstruction to reveal the location of the defective area straightforwardly. Moreover, its detection capacity is limited by the...

Full description

Saved in:

Bibliographic Details
Published in:	IEEE transactions on instrumentation and measurement Vol. 70; pp. 1 - 8
Main Authors:	He, Zhiyi, Wang, Hongjin, Li, Yiwen, Zhang, Zhenjun, Zhang, Yudong, Bi, Hanbo, He, Yunze
Format:	Journal Article
Language:	English
Published:	New York IEEE 2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Adaptive algorithms Algorithms Cylinders Deconvolution algorithm Defects Degradation Diffusion coating Fast Fourier transformations Field of view Fourier transforms functional coating materials Heat flux Image reconstruction Image restoration infrared thermography Inspection joint laser scanning Laser excitation Laser modes Mathematical model nondestructive testing (NDT) and evaluation Principal components analysis Random noise Reconstruction Scanning Signal to noise ratio Thermal diffusion Thermography
ISSN:	0018-9456, 1557-9662
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!