Blind Image Quality Assessment by Fast Quality Assessment Network

2021 7th International Symposium on System and Software Reliability (ISSSR)(2021)

Cited 1|Views7
No score
Abstract
In this paper, a new neural network structure, which is called fast quality assessment network (FQA-Net), is proposed for fast blind image quality assessment (BIQA). FQA-Net is a very simple neural network, which mainly includes convolution layer, standard deviation measurement layer and regression layer. In order to improve the efficiency of the network, a group of visual filters (VFs) are obtain...
More
Translated text
Key words
Training,Image quality,Visualization,Convolution,Artificial neural networks,Visual systems,Quality assessment
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined