CODEWITHSUNDEEP
imagemachine-learningimage-processingneural-networkconv-neural-network
alyssaeliyah
alyssaeliyah

Reputation: 2244

Image Dimension Size in Denoising Image using CNN

I have a set of synthetically noisy images. Example is shown below:

enter image description here

I have also their corresponding clean text images as my ground truth data. Example below:

enter image description here

The dimension size of the two images is 4918 x 5856. Is it an appropriate size for training my Convolutional Neural Network that will perform image denoising. If no, what shall I do? Resize or crop? Thanks.

Upvotes: 0

Views: 178

Answers (2)

Samay Maini
Samay Maini

Reputation: 11

I was facing this problem recently as well. I learned that you need to crop the image into patches, each of about 500x500. Then you need to denoise each patch and put it all together. This usually gets the most accurate results. Let me know if you need anything else!

Upvotes: 1

Raviteja Narra
Raviteja Narra

Reputation: 456

This resolution really is overkill. You can start off with 1/64 of the size ~(600,750), which is already pretty big.

Upvotes: 1

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