No-reference Remote Sensing Image Quality Assessment Using a Comprehensive Evaluation Factor

被引：1
|
作者：
Wang, Lin [1 ]
Wang, Xu [1 ]
Li, Xiao [1 ]
Shao, Xiaopeng [1 ]
机构：
[1] Xidian Univ, Sch Phys & Optoelect Engn, Xian 710071, Shaanxi, Peoples R China
来源：
SATELLITE DATA COMPRESSION, COMMUNICATIONS, AND PROCESSING X | 2014年 / 9124卷
关键词：
no reference image quality assessment (NRIQA); phase congruency (PC); HVS;
D O I：
10.1117/12.2053293
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Mean Square Error(MSE) and structural similarity (SSIM), needs the original image as a reference. It's not applicable to the remote sensing image for which the original image cannot be assumed to be available. In this paper, a No-reference Image Quality Assessment (NRIQA) algorithm is presented to evaluate the quality of remote sensing image. Since blur and noise (including the stripe noise) are the common distortion factors affecting remote sensing image quality, a comprehensive evaluation factor is modeled to assess the blur and noise by analyzing the image visual properties for different incentives combined with SSIM based on human visual system (HVS), and also to assess the stripe noise by using Phase Congruency (PC). The experiment results show this algorithm is an accurate and reliable method for Remote Sensing Image Quality Assessment.
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页数：11
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