Spectral analysis for polychromatic light sources and drinking water samples by using blind quality assessment
Author
Source
Journal of Kufa for Mathematics and Computer
Issue
Vol. 4, Issue 1 (31 Mar. 2017), pp.8-12, 5 p.
Publisher
University of Kufa Faculty of Mathematics and Computers Science
Publication Date
2017-03-31
Country of Publication
Iraq
No. of Pages
5
Main Subjects
Abstract EN
An attempt to quantify the spectral response of the polychromatic light sources and drinking water samples has been presented in this research.
This had been executed by an objective methods of image quality assessment, in which the criteria of error visibility (differences) between images had been applied theoretically and practically.
The theoretical part had been presented here by image quality assessment which gave results match with that of the practical part resulted by lab investigation.
Otherwise and in spite of its differences in physical and chemical properties, samples of drinking water with their existence percentage didn't make any variation in the spectrum of polychromatic light sources and hence the spectrum of the light sources remains unchanged.
American Psychological Association (APA)
al-Ubaydi, Fatin Izzat M.. 2017. Spectral analysis for polychromatic light sources and drinking water samples by using blind quality assessment. Journal of Kufa for Mathematics and Computer،Vol. 4, no. 1, pp.8-12.
https://search.emarefa.net/detail/BIM-770806
Modern Language Association (MLA)
al-Ubaydi, Fatin Izzat M.. Spectral analysis for polychromatic light sources and drinking water samples by using blind quality assessment. Journal of Kufa for Mathematics and Computer Vol. 4, no. 1 (Mar. 2017), pp.8-12.
https://search.emarefa.net/detail/BIM-770806
American Medical Association (AMA)
al-Ubaydi, Fatin Izzat M.. Spectral analysis for polychromatic light sources and drinking water samples by using blind quality assessment. Journal of Kufa for Mathematics and Computer. 2017. Vol. 4, no. 1, pp.8-12.
https://search.emarefa.net/detail/BIM-770806
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 12
Record ID
BIM-770806