CCSC_code_ICCV2017

This is the source code repository for the ICCV 2017 paper "Consensus Convolutional Sparse Coding".

Authors:

Biswarup Choudhury, Robin Swanson, Felix Heide, Gordon Wetzstein, and Wolfgang Heidrich.

Repository Information:

All codes are in MATLAB 2016b

1. 2D: Learning 2D convolutional filters from large image datasets, like ImageNet (to be downloaded separately). Also contains code for reconstruction problems like Inpainting and Poisson deconvolution using the filters learned.

2. 2-3D: Learning convolutional filters for multispectral images. Also contains code for multispectral inpating and demosaicking.

3. 3D: Learning 3D convolutional filters for video datasets. Also contains code for video deblurring using the filters learned.

4. 4D: Learning 4D filters for lightfield datasets. Also contains code for novel view synthesis using filters learned.

5. image_helpers: Miscellaneous utility code for reading data, contrast normalization, etc.

Memory Requirement:

All experiments were conducted under 128GB of memory.

Reference:

If you use any of the above code or a version inspired by it, please cite our paper. Thank you!

@Article{Choudhury:2017:CCSC,
  author =       {B. Choudhury and R. Swanson and F. heide and G. Wetzstein and W. Heidrich},
  title =        {Consensus Convolutional Sparse Coding},
  journal =      {IEEE Xplore (Proc. ICCV)},
  year =         2017,
}

For bugs, questions and comments, please send email to:

1. Biswarup Choudhury [[email protected]] Research Scientist, VCC, KAUST

2. Robin Swanson [[email protected]] PhD Student, University of Toronto

All the best :-)