Image-Super-Resolution-with-SRCNN

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

This Project

• 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

Use:

Execute:
python SRCNN.py

Results

Colab Demo (Coming Soon)

Author

You can get in touch with me on my LinkedIn Profile:

Saad Hassan

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If you find any bug in the code or have any improvements in mind then feel free to generate a pull request.

Issues

If you face any issue, you can create a new issue in the Issues Tab and I will be glad to help you out.

LICENSE

• MIT (2021)