Back to search

Article

A Novel Multi-attention Fusion Convolution Neural Network for Blind Image Quality Assessment

2022-10-19

Abstract excerpt

As an underlying computer vision task, blind image quality assessment plays an important role in image evaluation. According to the Human Vision System (HVS), when observing an image, people's visual attention will be more sensitive to the region of their concern, which shows that attention mechanism is very helpful for image quality assessment. Therefore, in blind image quality assessment, many attention mechanis...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
7324f78a-7e40-5791-9843-94ec3d2800fa
DOI
10.21203/rs.3.rs-2173191/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
A Novel Multi-attention Fusion Convolution Neural Network for Blind Image Quality AssessmentDOI 10.21203/rs.3.rs-2173191/v1
Select a neighboring publication to make it the new centre.