Comments (3)
Hi,
If I understand correctly, you want to denoise photographic noise, not only Gaussian.
In this case, you can denoise your sequences with the model provided. You will probably have to test with different values for the noise map to see the one that works the best.
Else, you can retrain the model. In this case, you can choose to remove the noise map completely (blind denoising). A second option would be to use a noise estimator, and use its output as noise map.
Hope this helps
from fastdvdnet.
Hi,
If I understand correctly, you want to denoise photographic noise, not only Gaussian.
In this case, you can denoise your sequences with the model provided. You will probably have to test with different values for the noise map to see the one that works the best.
Else, you can retrain the model. In this case, you can choose to remove the noise map completely (blind denoising). A second option would be to use a noise estimator, and use its output as noise map.
Hope this helps
Hello @m-tassano, I am wondering what kind of noise estimator (network) will you used to get a noise map on real noisy image ? I'm working on fluorescent microscopy I have sequence of noisy images and also the sequence of the pseudo non-noisy images, but I dont have the noise map, cause it is a real noise. Thanls
from fastdvdnet.
Hi @Scienceseb , I have not implemented that for fastdvdnet, but I would probably start testing the one proposed with CBDNet. Hope this helps
from fastdvdnet.
Related Issues (20)
- How can I compute the st-rred for color images? HOT 2
- How to generate video according to images to compute ST-RRED HOT 2
- How to read the sequence of images and obtained the gaussin? HOT 1
- CUDA out of memory. But why though? HOT 2
- Could you help me fix some problems HOT 1
- nvidia-sali HOT 3
- Can you tell me how your demo renderings are made HOT 1
- DAVIS dataset can't download from Dropbox HOT 2
- Log Files from Training HOT 1
- Hyperparameters differences between code and paper HOT 3
- generation of DAVIS-training-mp4 HOT 6
- fastdvdnet training HOT 1
- Question about the calculation of psnr HOT 2
- Question about psnr in the process of training HOT 4
- Training environment on ubuntu20.04+CUDA110 HOT 2
- resume from the pre-train model.pth
- The problem about fastdvdnet and dvdnet effect? HOT 2
- AssertionError
- Colab page not accessible anymore HOT 4
- [REQ] add a (GH-compliant) license file HOT 2
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from fastdvdnet.