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Utilizing convolutional neural network and gray wolf optimization for image super-resolution
Haoyu Yang
, Entesar Gemeay
, Mohamad A. Alawad
, Mohamed Alkaoud
, Sangkeum Lee
,
Shaimaa Ahmed Elsaid
Computer Engineering
Georgia Institute of Technology
Taif University
Al-Imam Muhammad Ibn Saud Islamic University
King Saud University
Hanbat National University
Research output
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Computer Science
Complex Task
25%
Convolutional Neural Network
100%
Deep Learning Model
25%
Grey Wolf Optimization
100%
Image Processing
25%
Information Processing
25%
Neural Network Model
50%
Optimization Algorithm
25%
peak signal to noise ratio
25%
Performance Evaluation
25%
Postprocessing
25%
Resolution Image
25%
segmented image
25%
Structural Similarity
25%
super resolution
100%
Engineering
Convolutional Neural Network
100%
Deep Learning Method
25%
Dense Layer
25%
Generated Image
25%
High Resolution
25%
Image Processing
25%
Metrics
25%
Network Model
50%
Noise Ratio
25%
Resolution Image
25%
Similarity Index
25%
Structural Similarity
25%
Earth and Planetary Sciences
Image Processing
100%
Information Processing
100%
Similarity Index
100%
Material Science
Image Processing
100%
Signal-to-Noise Ratio
100%
Chemical Engineering
Deep Learning Method
25%
Neural Network
100%