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Image quality assessment: A sparse learning way
Yuan Yuan
, Qun Guo, Xiaoqiang Lu
CAS - Xi'an Institute of Optics and Precision Mechanics
Research output
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Contribution to journal
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Article
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peer-review
43
Scopus citations
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Dive into the research topics of 'Image quality assessment: A sparse learning way'. Together they form a unique fingerprint.
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Computer Science
Image Quality Assessment
100%
Sparse Learning
100%
Kernel Ridge Regression
100%
Sparse Representation
75%
Image Quality
50%
Quality Assessment
50%
Vision System
50%
Subjective Quality
25%
Reference Image
25%
Local Structure
25%
Image Processing
25%
Quality Rating
25%
Objective Model
25%
Engineering
Image Quality Assessment
100%
Quality Assessment
50%
Single Image
50%
Human Vision
50%
Image Processing
25%
Reference Image
25%
Image Patch
25%
Local Image
25%
Subjective Quality
25%
Local Structure
25%
Step Approach
25%
Distortion Measurement
25%