top of page

From Blurry to Sharp: AI-Based Satellite Image Resolution Enhancement

Writer's picture: utkalsharmautkalsharma

Updated: Jan 31

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)


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



How Deep Learning Enhances Satellite Image Resolution?
How Deep Learning Enhances Satellite Image Resolution


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! 🛰️



USA (HQ): (720) 702–4849

India: 98260-76466 - Pradeep Shrivastava

Canada: (519) 590 9999

Mexico: 55 5941 3755

UK & Spain: +44 12358 56710



53 views0 comments

Recent Posts

See All

留言


bottom of page