.. _sphx_glr_auto_examples_plug-and-play:

Plug-and-Play
-------------




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    <div class="sphx-glr-thumbcontainer" tooltip="This is a simple example to show how to use a mirror descent algorithm for solving an inverse problem with Poisson noise.">

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  .. image:: /auto_examples/plug-and-play/images/thumb/sphx_glr_demo_PnP_mirror_descent_thumb.png
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  :ref:`sphx_glr_auto_examples_plug-and-play_demo_PnP_mirror_descent.py`

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      <div class="sphx-glr-thumbnail-title">Plug-and-Play algorithm with Mirror Descent for Poisson noise inverse problems.</div>
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    <div class="sphx-glr-thumbcontainer" tooltip="This example shows how to use a standart PnP algorithm with DnCNN denoiser for computed tomography.">

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  .. image:: /auto_examples/plug-and-play/images/thumb/sphx_glr_demo_vanilla_PnP_thumb.png
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  :ref:`sphx_glr_auto_examples_plug-and-play_demo_vanilla_PnP.py`

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      <div class="sphx-glr-thumbnail-title">Vanilla PnP for computed tomography (CT).</div>
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    <div class="sphx-glr-thumbcontainer" tooltip="This example shows how to use the DPIR method to solve a PnP image deblurring problem. The DPIR method is described in the following paper: Zhang, K., Zuo, W., Gu, S., &amp; Zhang, L. (2017). Learning deep CNN denoiser prior for image restoration. In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 3929-3938).">

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  .. image:: /auto_examples/plug-and-play/images/thumb/sphx_glr_demo_PnP_DPIR_deblur_thumb.png
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  :ref:`sphx_glr_auto_examples_plug-and-play_demo_PnP_DPIR_deblur.py`

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      <div class="sphx-glr-thumbnail-title">DPIR method for PnP image deblurring.</div>
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    <div class="sphx-glr-thumbcontainer" tooltip="We use as plug-in denoiser the Gradient-Step Denoiser (GSPnP) which provides an explicit prior.">

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  .. image:: /auto_examples/plug-and-play/images/thumb/sphx_glr_demo_RED_GSPnP_SR_thumb.png
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  :ref:`sphx_glr_auto_examples_plug-and-play_demo_RED_GSPnP_SR.py`

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      <div class="sphx-glr-thumbnail-title">Regularization by Denoising (RED) for Super-Resolution.</div>
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    <div class="sphx-glr-thumbcontainer" tooltip="This example shows how to define your own optimization algorithm. For example, here, we implement the Condat-Vu Primal-Dual algorithm, and apply it for Single Pixel Camera reconstruction.">

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  .. image:: /auto_examples/plug-and-play/images/thumb/sphx_glr_demo_PnP_custom_optim_thumb.png
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  :ref:`sphx_glr_auto_examples_plug-and-play_demo_PnP_custom_optim.py`

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      <div class="sphx-glr-thumbnail-title">PnP with custom optimization algorithm (Condat-Vu Primal-Dual)</div>
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    </div>


.. toctree::
   :hidden:

   /auto_examples/plug-and-play/demo_PnP_mirror_descent
   /auto_examples/plug-and-play/demo_vanilla_PnP
   /auto_examples/plug-and-play/demo_PnP_DPIR_deblur
   /auto_examples/plug-and-play/demo_RED_GSPnP_SR
   /auto_examples/plug-and-play/demo_PnP_custom_optim