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Diving deeper into underwater image enhancement: A survey
Saeed Anwar
, Chongyi Li
*
*
Corresponding author for this work
Research output
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Contribution to journal
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Article
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peer-review
257
Scopus citations
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Earth and Planetary Sciences
Image Enhancement
100%
Diving
100%
Survey
100%
Algorithm
66%
Data Set
50%
Image
50%
Learning
50%
Training
50%
Evaluation
33%
Comparison
33%
Architecture
16%
Model
16%
Community
16%
Need
16%
Research
16%
Increasing
16%
Time
16%
Loss
16%
Fold
16%
Parameter
16%
Aspect
16%
Effectiveness
16%
Computer Science
Image Enhancement
100%
Survey
100%
Algorithms
66%
Deep Learning
50%
Evaluation Metric
33%
Benchmark
33%
Training Data
33%
Research Direction
16%
Qualitative Comparison
16%
Quantitative Comparison
16%
Image Formation
16%
Data Synthesis
16%
Design
16%
Model
16%
Engineering
Image Enhancement
100%
Algorithm
66%
Dataset
50%
Deep Learning
50%
Benchmark
33%
Metrics
33%
Images
33%
Evaluation
33%
Image Formation
16%
Models
16%
Design
16%
Development
16%
Architecture
16%
Research
16%
Loss Function
16%
Chemical Engineering
Deep Learning
100%