Weighted Feature Similarity – A Nonlinear Combination of Gradient and Phase Congruency for Full-Reference Image Quality Assessment

Author(s):  
Krzysztof Okarma
2020 ◽  
Vol 6 (8) ◽  
pp. 75
Author(s):  
Domonkos Varga

The goal of no-reference image quality assessment (NR-IQA) is to predict the quality of an image as perceived by human observers without using any pristine, reference images. In this study, an NR-IQA algorithm is proposed which is driven by a novel feature vector containing statistical and perceptual features. Different from other methods, normalized local fractal dimension distribution and normalized first digit distributions in the wavelet and spatial domains are incorporated into the statistical features. Moreover, powerful perceptual features, such as colorfulness, dark channel feature, entropy, and mean of phase congruency image, are also incorporated to the proposed model. Experimental results on five large publicly available databases (KADID-10k, ESPL-LIVE HDR, CSIQ, TID2013, and TID2008) show that the proposed method is able to outperform other state-of-the-art methods.


Author(s):  
Maozheng Zhao ◽  
Qin Tu ◽  
Yanping Lu ◽  
Yongyu Chang ◽  
Bo Yang ◽  
...  

PLoS ONE ◽  
2018 ◽  
Vol 13 (6) ◽  
pp. e0199430 ◽  
Author(s):  
Chaofeng Li ◽  
Yifan Li ◽  
Yunhao Yuan ◽  
Xiaojun Wu ◽  
Qingbing Sang

Author(s):  
Yang Wen ◽  
Ying Li ◽  
Xiaohua Zhang ◽  
Wuzhen Shi ◽  
Lin Wang ◽  
...  

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