Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Why there are intermediate kernels for x4? #52

Open
JingyunLiang opened this issue Sep 29, 2020 · 3 comments
Open

Why there are intermediate kernels for x4? #52

JingyunLiang opened this issue Sep 29, 2020 · 3 comments

Comments

@JingyunLiang
Copy link

In the given DIVRK dataset, there are intermediate kernels for x4. I guess they are x2 kernels and the given x4 kernels are derived from intermediate x2 kernels. Then, the derived x4 kernels are used to generate LR image. Am I right?

Why don't directly generate x4 kernels and use them to blur HR? What's the difference between anisotropic Gaussian x4 kernel and derived x4 kernel (from anisotropic Gaussian x2 kernel)? Would it be fair to compare with other methods that are using anisotropic Gaussian x4 kernels?

@sefibk
Copy link
Owner

sefibk commented Sep 29, 2020

I am not sure I understand the second part.
The first part - correct

@Zj-BinXia
Copy link

Yes, I have the same question. Compared with generating the x4 kernels anisotropic Gaussian based on x2 kernels anisotropic Gaussian kernels, why can't generate the x4 kernels anisotropic Gaussian directly?

@sefibk
Copy link
Owner

sefibk commented Jun 30, 2022

You can do that as well.
As I recall (it was a while ago), we spoke with a physics/vision/optics specialistic who claimed that more realistic and natural kernels are a multiplication of smaller scale factors than a big one that can't be represented as 2 smaller ones

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

3 participants