A Non-Reference Image Quality Objective Evaluation Algorithm Based on Neural Network

被引：0
|
作者：
Qiu Longjia [1 ,2 ]
Zhou Dezhao
Du Baolin
Yan Wei
机构：
[1] Electroopt Equipment Res Inst AVIC, Luoyang 471025, Peoples R China
[2] Sci & Technol Electroopt Control Lab, Luoyang, Peoples R China
来源：
OPTICAL SENSING AND IMAGING TECHNOLOGIES AND APPLICATIONS | 2018年 / 10846卷
关键词：
image quality evaluation; HVS; wavelet transform; neural network; NIIRS;
D O I：
10.1117/12.2502140
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
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.
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页数：8
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