Single image super resolution algorithm implementation (in progress)
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Supported python version 2.7
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pip install Pillow
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pip install mock==1.0.1
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pip install six
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pip install -U numpy scipy scikit-learn
image = Image.open("test_data/babyface_4.png")
sr_image = SRImageFactory.create_sr_image(image)
reconstructed_sr_image = sr_image.reconstruct(2, 'iccv09')
reconstructed_sr_image.save("test_data/babyface_sr.png", "png")
Need to work more on performance, it will take around 20 seconds to reconstruct a 128*128 image to 2X its original size, and take around 1 minutes to 4X its original size.(On i7 Cpu, 8G ram)
Add root directory of SRLab to PYTHONPATH:
export PYTHONPATH=$PYTHONPATH:~/schen59/SRLab
Go to the example directory:
cd example
Run the example script:
python sr_image_example.py
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