Analytic deep prior

Implementation of the analytic deep prior for solving ill-posed inverse problems. If you use this resource in a scientific publication please citate the following paper: https://link.springer.com/article/10.1007%2Fs10851-019-00923-x

Citation

@Article{Dittmer2019,
    author="Dittmer, S{\"o}ren
    and Kluth, Tobias
    and Maass, Peter
    and Otero Baguer, Daniel",
    title="Regularization by Architecture: A Deep Prior Approach for Inverse Problems",
    journal="Journal of Mathematical Imaging and Vision",
    year="2019",
    month="Oct",
    day="30",
    issn="1573-7683",
    doi="10.1007/s10851-019-00923-x",
    url="https://doi.org/10.1007/s10851-019-00923-x"
}

Install

This is the list of requirements

• python = 3.6
• numpy
• matplotlib
• tensorflow
• scipy
• jupyter