I have 30% blurred images in each classes. I have a total of 10 classes. I'm not allowed to drop these blurred images. How do I train the model to get better accuracy for both blurred and nonblurred training dataset ? Currently, I'm at 11% accuracy.
The images were blurred using a Gaussian blur.
I have used a Wiener filter, but not able to restore the image from blurred images.
Please can anyone suggest a good way to train the model.