Super Resolution
This model is trained based on the Keras tutorial and can enhance low-resolution images to high-resolution images.
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Release Time : 3/2/2022
Model Overview
This is an image super-resolution model that combines residual blocks with an efficient sub-pixel network, capable of converting 100x100 input images into 300x300 high-resolution images.
Model Features
Efficient Sub-pixel Network
Uses an efficient sub-pixel network to achieve image super-resolution and improve image quality.
Residual Block Structure
Incorporates residual block structures to enhance model training effectiveness and image restoration capabilities.
Fixed Size Processing
Supports 100x100 input images and outputs 300x300 high-resolution images.
Model Capabilities
Image super-resolution
Low-resolution image enhancement
Use Cases
Image Processing
Low-resolution Image Enhancement
Converts low-resolution images into high-resolution images to improve image quality.
Outputs a 300x300 high-resolution image.
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