OpenDenoising: An Open Benchmark for Image Restoration Methods

OpenDenoising is an open-source benchmark for comparing the performance of denoising algorithms. We currently support generic denoising functions through Python and Matlab, as well as deep learning based denoisers through frameworks. The table bellow shows the compatibility between our benchmark and various frameworks,

Programming Language	Framework	Training	Inference
Matlab	Matconvnet		x
	Deep Learning Toolbox	x	x
Python	Keras	x	x
	Tensorflow	x	x
	Pytorch	x	x
	ONNX		x

Contents:

• Installation guide
  • Creating a virtual environment
  • Package Requirements
  • [Optional] Matlab dependencies
  • Setting up multiple CUDA versions
  • Compiling Matconvnet library
  • Check Driver requirements
• Benchmark API
  • model module
  • data module
  • evaluation module
  • Benchmark Class
• Examples
  • Basic Examples
  • In-depth Tutorials
  • Jupyter Notebooks

Indices and tables

• Index
• Module Index
• Search Page