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Proceedings Paper

A non-reference image quality objective evaluation algorithm based on neural network
Author(s): Longjia Qiu M.D.; Dezhao Zhou; Baolin Du; Wei Yan
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Paper Abstract

In this paper, subjective and objective image quality evaluation algorithms are reviewed, and point out the disadvantages of these algorithms. Aim at infrared image and human visual system, a non-reference image quality objective evaluation algorithm based on neural network is proposed, which is optimized from histogram, information entropy and wavelet transform algorithms. According to NIIRS, the algorithm is optimized after a lot of machine study works have been done. The experiment results are very similar with the results from NIIRS, a fast algorithm for image quality evaluation is implemented.

Paper Details

Date Published: 12 December 2018
PDF: 8 pages
Proc. SPIE 10846, Optical Sensing and Imaging Technologies and Applications, 1084604 (12 December 2018); doi: 10.1117/12.2502140
Show Author Affiliations
Longjia Qiu M.D., Electro-Optical Equipment Research Institute (China)
Science and Technology on Electro-Optic Control Lab. (China)
Dezhao Zhou, Electro-Optical Equipment Research Institute (China)
Baolin Du, Electro-Optical Equipment Research Institute (China)
Wei Yan, Electro-Optical Equipment Research Institute (China)


Published in SPIE Proceedings Vol. 10846:
Optical Sensing and Imaging Technologies and Applications
Mircea Guina; Haimei Gong; Jin Lu; Dong Liu, Editor(s)

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