Thank you for the reply.
Based on the method you confirmed, I tried all of [0,1] range, [-1,1] range, mean 0 and std 1 normalize.
However, all did not work properly, and while extracting the input, I found data with a max value of 0.
The reason why the data with the max value of 0 was generated seems to have occurred in the process of making a single image into a patch and dividing it by the max value for each patch.

Does the data with max value of 0 as input interfere with learning?
If I want to normalize the data with [0,1] range in the process of making an image as a patch and learning, is it correct to divide it by the max value of one original image?
Do I think of each patch as one image and divide it by the max value of each patch?

Thanks!