Blind Image Quality Assessment Based on Classification Guidance and Feature Aggregation

Blind Image Quality Assessment Based on Classification Guidance and Feature Aggregation

In this work, we present a convolutional neural network (CNN) named CGFA-CNN for blind image quality assessment (BIQA). A unique two-stage strategy is utilized which firstly identifies the distortion type in an image using Sub-Network I and then quantifies this distortion using Sub-Network II. Diffe...

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Bibliographic Details
Main Authors: Weipeng Cai, Cien Fan, Lian Zou, Yifeng Liu, Yang Ma, Minyuan Wu
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Electronics
Subjects:
blind image quality assessment
deep neutral networks
feature aggregation
Online Access:https://www.mdpi.com/2079-9292/9/11/1811

Internet

https://www.mdpi.com/2079-9292/9/11/1811

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