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I've read the Q&A about the JPG image issue. I am not quite understand the reason: after loading the image into memory, they are just array numbers, what are the differences between JPG's array(matrix) and PNG's array?
I did a test to convert JPG back to PNG then feed to CBDNet, I can see the result is much better. I am wondering if this is a matplotlib.pyplot/pillow issue? maybe it can not read the JPG data correctly?
I've read the Q&A about the JPG image issue. I am not quite understand the reason: after loading the image into memory, they are just array numbers, what are the differences between JPG's array(matrix) and PNG's array?
I did a test to convert JPG back to PNG then feed to CBDNet, I can see the result is much better. I am wondering if this is a matplotlib.pyplot/pillow issue? maybe it can not read the JPG data correctly?
BTW, I am using this code since it provides me a easy to use interface: https://gitlab.com/Yggdrasyll/cbdnet-denoiser
Here is the test result.
![crop1](https://user-images.githubusercontent.com/3990687/87220117-e6528d00-c393-11ea-8cce-ab31569d31c0.jpg)
![FromJPG](https://user-images.githubusercontent.com/3990687/87220170-45180680-c394-11ea-9fbd-cc2d05800110.png)
![fromJPGsPNG](https://user-images.githubusercontent.com/3990687/87220165-36315400-c394-11ea-9cb6-76463309e23c.png)
Origin:
Result directly processed from origin JPG image:
Convert JPG to PNG by Mac's preview, then feed to CBDNet:
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