DocumentCode :
685016
Title :
Sharpness evaluation function of wavelength-related multi-spectral image
Author :
Hong-ning Li ; Lin-li Xu ; Jie Feng ; Wei-ping Yang ; Yun-Mei Wang
Author_Institution :
Dept. of Phys. & Electron., Yunnan Normal Univ., Kunming, China
Volume :
01
fYear :
2013
fDate :
16-18 Aug. 2013
Firstpage :
452
Lastpage :
456
Abstract :
In this paper, two objective sharpness functions which results match the subjective result very well are obtained, and it solved the problem of descripting the sharpness property in a multi-spectral image. The multi-spectral image of an international standard vision chart is obtained by a dispersion LCTF multi-spectral imaging system. Subjective experiment is designed and conducted to obtain the sharpness values of the channel image with different light wavelength, and 6 objective sharpness evaluation functions are used to calculate the sharpness/wavelength relationships. Experiment results show that only gray differential function and point sharpness function match the subjective experiment very well, and can be used to describe the sharpness property of the channel images of a dispersion multi-spectral imaging system. Moreover, concerning the computational speed, gray differential function is faster than point sharpness function.
Keywords :
image matching; liquid crystal devices; optical dispersion; optical filters; optical images; optical tuning; dispersion LCTF multispectral imaging system; gray differential function; light wavelength; liquid crystal tunable filter; point sharpness function; sharpness evaluation function; sharpness/wavelength calculation; wavelength-related multispectral imaging system; Surface waves; LCTF; multi-spectral imaging; sharpness evaluation function; subjective/objective experiment;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Measurement, Information and Control (ICMIC), 2013 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4799-1390-9
Type :
conf
DOI :
10.1109/MIC.2013.6758003
Filename :
6758003
Link To Document :
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