Below are the OpenCV DNN AI models for super-resolution that can be utilized to improve the resolution of your satellite images, including their features and download links:
EDSR (Enhanced Deep Residual Networks)
Scale Factors: 2x, 3x, 4x
Strengths: Best quality, state-of-the-art results
Weaknesses: Comparatively large model size (~67MB for 4x)
URL: python # 4x model
ESPCN (Efficient Sub-Pixel CNN)
Scale Factors: 2x, 3x, 4x
Strengths: Fastest inference, small model size (~100KB)
Weaknesses: Lower quality than EDSR
URL: python 4x model
FSRCNN (Fast Super-Resolution CNN)
Scale Factors: 2x, 3x, 4x
Strengths: Good speed/quality balance
Weaknesses: Limited to smaller upscaling factors
URL: python 4x model https://github.com/Saafke/EDSR_TensorFlow/raw/master/models/FSRCNN_x4.pb
LapSRN (Laplacian Pyramid Network)
Scale Factors**: 2x, 4x, 8x (progressive upscaling)
Strengths**: Progressive upscaling, handles large factors
Weaknesses**: Slower than ESPCN/FSRCNN
URL: python 8x model
Implementation Example
import cv2
# Initialize model (example for ESPCN)
sr = cv2.dnn_superres.DnnSuperResImpl_create()
sr.readModel('ESPCN_x4.pb') # Replace with your model file
sr.setModel('espcn', 4) # Change model type and scale
# Model types correspond to filenames:
# - 'edsr' for EDSR_x4.pb
# - 'espcn' for ESPCN_x4.pb
# - 'fsrcnn' for FSRCNN_x4.pb
# - 'lapsrn' for LapSRN_x8.pb

Performance Comparison
Model | Speed (ms) | PSNR (dB) | Model Size | Best For |
EDSR | 1200 | 28.9 | 67MB | High-quality SR |
ESPCN | 15 | 26.4 | 100KB | Real-time apps |
FSRCNN | 25 | 27.1 | 200KB | Balanced quality |
LapSRN | 450 | 27.9 | 5Mb | Large upscaling |
Recommended Use Cases
Satellite/Aerial Imagery (NAIP): Use EDSR for maximum detail preservation
Real-Time Processing: Use ESPCN or FSRCNN
8× Upscaling: Use LapSRN
Important Things to Remember
Ensure that the scale factor in `setModel()` corresponds with the downloaded model (for instance, use `sr.setModel('lapsrn', 8)` for `LapSRN_x8.pb`).
Models perform optimally with RGB images (3 channels).
Let us know if you need help implementing a specific model! 🛰️
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