Cascaded Multi-Domain Filter for Fast Image Denoising

This is an implementation of CMDF. on Python and Matlab. See also CMDF. CMDF integrates different fast denoising methods efficiently to gain both quality and speed. Here is the block diagram of the cascaded multi-domain.

Here is a sample denoising result.

We can use CMDF to boost other densoing methods. See demo.ipynb. Here is a sample of boosted BMCNN.

The repository includes:

• Python package for CMDF and BMCNN.
• Matlab package for CMDF.
• Jupyter notebooks to visualize the denoising results.
• Test images.
• Trained weights for BMCNN.

Getting Started with Python

• demo.ipynb is the fastest way to start. It shows an example of using CMDF. It also shows the integration CMDF to other methods (here BMCNN).

• denoise_cmdf.py: This file contains the main CMDF implementation.

Getting Started with Matlab (Windows only)

• demo.m Is the fastest way to start.

Installation (Python)

1. Install dependencies

   pip3 install package [numpy, skimage, ...]

2. Clone this repository

3. Run setup from the Python/libs directory

   python3 setup.py install

   or: if python version is 3.6 copy module files (*.pyd for windows and *.so for linux to your working directory)

4. (optional for BMCNN-CMDF) Run setup from the bmcnn/libs directory

   python3 setup.py install