Skip to main navigation
Skip to search
Skip to main content
Northwestern Polytechnical University Home
English
中文
Home
Profiles
Research units
Research output
Search by expertise, name or affiliation
Image quality assessment: A sparse learning way
Yuan Yuan
, Qun Guo, Xiaoqiang Lu
CAS - Xi'an Institute of Optics and Precision Mechanics
Research output
:
Contribution to journal
›
Article
›
peer-review
43
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Image quality assessment: A sparse learning way'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Computer Science
Image Processing
25%
Image Quality
50%
Image Quality Assessment
100%
Kernel Ridge Regression
100%
Local Structure
25%
Objective Model
25%
Quality Assessment
50%
Quality Rating
25%
Reference Image
25%
Sparse Learning
100%
Sparse Representation
75%
Subjective Quality
25%
Vision System
50%
Engineering
Distortion Measurement
25%
Human Vision
50%
Image Patch
25%
Image Processing
25%
Image Quality Assessment
100%
Local Image
25%
Local Structure
25%
Quality Assessment
50%
Reference Image
25%
Single Image
50%
Step Approach
25%
Subjective Quality
25%