scholarly journals A full‐reference stereoscopic image quality assessment index based on stable aggregation of monocular and binocular visual features

2021 ◽  
Author(s):  
Jianwei Si ◽  
Huan Yang ◽  
Baoxiang Huang ◽  
Zhenkuan Pan ◽  
Honglei Su
Keyword(s):  
Image Quality ◽  
Quality Assessment ◽  
Image Quality Assessment ◽  
Visual Features ◽  
Stereoscopic Image ◽  
Assessment Index ◽  
Full Reference

scholarly journals A Full-Reference Image Quality Assessment for Multiply Distorted Image based on Visual Mutual Information

2019 ◽  
Vol 63 (6) ◽  
pp. 60504-1-60504-11
Author(s):  
Yin Zhang ◽  
Xuehan Bai ◽  
Junhua Yan ◽  
Yongqi Xiao ◽  
Wanyi Zhang ◽  
...  
Keyword(s):  
Image Quality ◽  
Mutual Information ◽  
Quality Assessment ◽  
Image Quality Assessment ◽  
Reference Image ◽  
Assessment Index ◽  
Distorted Image ◽  
Gaussian Scale Mixture ◽  
Full Reference ◽  
Reference Images

Abstract A full-reference image quality assessment (FR-IQA) method for multi-distortion based on visual mutual information (MD-IQA) is proposed to solve the problem that the existing FR-IQA methods are mostly applicable to single-distorted images, but the assessment result for multiply distorted images is not ideal. First, the reference image and the distorted image are preprocessed by steerable pyramid decomposition and contrast sensitivity function (CSF). Next, a Gaussian scale mixture (GSM) model and an image distorted model are respectively constructed for the reference images and the distorted images. Then, visual distorted models are constructed both for the reference images and the distorted images. Finally, the mutual information between the processed reference image and the distorted image is calculated to obtain the full-reference quality assessment index for multiply distorted images. The experimental results show that the proposed method has higher accuracy and better performance for multiply distorted images.

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