Single image super resolution algorithm implementation (in progress)

Project Demo

Requirement: pip install Pillow

pip install scipy

pip install -U numpy scipy scikit-learn

Example:

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)