The original paper is Learning a Deep Convolutional Network for Image Super-Resolution

• Use the PSNR, MSE, and SSIM image quality metrics
• Process images using OpenCV
• Convert between the RGB, BGR, and YCrCb color spaces
• Build SRCNN deep neural network architecture in Keras
• Deploy and evaluate the SRCNN network

Execute: python SRCNN.py

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• MIT (2021)