{
  "id": 161986,
  "title": "Denoising open-source resources",
  "url": "/competitions/alaska2-image-steganalysis/discussion/161986",
  "author_name": "",
  "post_date": "2020-06-26T23:05:51.383133100Z",
  "votes": 4,
  "comment_count": 1,
  "views": 0,
  "content": "<p>There is a main resource \n<a href=\"https://paperswithcode.com/sota/denoising-on-darmstadt-noise-dataset\">https://paperswithcode.com/sota/denoising-on-darmstadt-noise-dataset</a></p>\n\n<p>We can get some algorithms from there:\n1. PD-Denoising - <a href=\"https://github.com/yzhouas/PD-Denoising-pytorch\">https://github.com/yzhouas/PD-Denoising-pytorch</a></p>\n\n<ol>\n<li><p>Toward Convolutional Blind Denoising of Real Photographs - <a href=\"https://github.com/GuoShi28/CBDNet\">https://github.com/GuoShi28/CBDNet</a></p></li>\n<li><p>FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising - \n<a href=\"https://github.com/cszn/FFDNet\">https://github.com/cszn/FFDNet</a></p></li>\n<li><p>BM3D - Old-fashion algorithm (I think we can't use it).\nI put it here because it uses block-matching algorithm that can't be mimic with conv-nets\n<a href=\"https://pypi.org/project/bm3d/\">https://pypi.org/project/bm3d/</a> - has a non-commercial license FYI</p></li>\n</ol>",
  "messages": [
    {
      "id": "903527",
      "postDate": "06/26/2020 23:05:51",
      "content": "<p>There is a main resource \n<a href=\"https://paperswithcode.com/sota/denoising-on-darmstadt-noise-dataset\">https://paperswithcode.com/sota/denoising-on-darmstadt-noise-dataset</a></p>\n\n<p>We can get some algorithms from there:\n1. PD-Denoising - <a href=\"https://github.com/yzhouas/PD-Denoising-pytorch\">https://github.com/yzhouas/PD-Denoising-pytorch</a></p>\n\n<ol>\n<li><p>Toward Convolutional Blind Denoising of Real Photographs - <a href=\"https://github.com/GuoShi28/CBDNet\">https://github.com/GuoShi28/CBDNet</a></p></li>\n<li><p>FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising - \n<a href=\"https://github.com/cszn/FFDNet\">https://github.com/cszn/FFDNet</a></p></li>\n<li><p>BM3D - Old-fashion algorithm (I think we can't use it).\nI put it here because it uses block-matching algorithm that can't be mimic with conv-nets\n<a href=\"https://pypi.org/project/bm3d/\">https://pypi.org/project/bm3d/</a> - has a non-commercial license FYI</p></li>\n</ol>",
      "rawMarkdown": "There is a main resource \nhttps://paperswithcode.com/sota/denoising-on-darmstadt-noise-dataset\n\nWe can get some algorithms from there:\n1. PD-Denoising - https://github.com/yzhouas/PD-Denoising-pytorch\n\n2. Toward Convolutional Blind Denoising of Real Photographs - https://github.com/GuoShi28/CBDNet\n\n3. FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising - \nhttps://github.com/cszn/FFDNet\n\n4. BM3D - Old-fashion algorithm (I think we can't use it).\nI put it here because it uses block-matching algorithm that can't be mimic with conv-nets\nhttps://pypi.org/project/bm3d/ - has a non-commercial license FYI",
      "votes": null
    },
    {
      "id": "903684",
      "postDate": "06/27/2020 03:38:52",
      "content": "<p>Image denoising is a really interesting topic!</p>",
      "rawMarkdown": "Image denoising is a really interesting topic!",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 903684,
      "author_name": "salmaneunus",
      "author_url": "",
      "post_date": "06/27/2020 03:38:52",
      "content": "<p>Image denoising is a really interesting topic!</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "903527": "There is a main resource \nhttps://paperswithcode.com/sota/denoising-on-darmstadt-noise-dataset\n\nWe can get some algorithms from there:\n1. PD-Denoising - https://github.com/yzhouas/PD-Denoising-pytorch\n\n2. Toward Convolutional Blind Denoising of Real Photographs - https://github.com/GuoShi28/CBDNet\n\n3. FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising - \nhttps://github.com/cszn/FFDNet\n\n4. BM3D - Old-fashion algorithm (I think we can't use it).\nI put it here because it uses block-matching algorithm that can't be mimic with conv-nets\nhttps://pypi.org/project/bm3d/ - has a non-commercial license FYI",
    "903684": "Image denoising is a really interesting topic!"
  },
  "source": "meta"
}