{"id":15848506,"url":"https://github.com/pythonista7/dncnn-tf2","last_synced_at":"2025-09-20T07:31:24.285Z","repository":{"id":135374899,"uuid":"307403755","full_name":"Pythonista7/DnCNN-tf2","owner":"Pythonista7","description":"Using CNN to de noise images.","archived":false,"fork":false,"pushed_at":"2021-05-08T06:14:57.000Z","size":177,"stargazers_count":5,"open_issues_count":0,"forks_count":1,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-01-11T04:04:07.338Z","etag":null,"topics":["denoising-images","denoising-network","dncnn","gaussian-noise","tf2"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Pythonista7.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2020-10-26T14:41:51.000Z","updated_at":"2024-12-24T05:34:35.000Z","dependencies_parsed_at":null,"dependency_job_id":"9c795d16-7f59-45a7-8ad9-0b063937b141","html_url":"https://github.com/Pythonista7/DnCNN-tf2","commit_stats":{"total_commits":2,"total_committers":1,"mean_commits":2.0,"dds":0.0,"last_synced_commit":"e2b9b3ef1c39bae5dfdcbdc44b0119fc8300f892"},"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Pythonista7%2FDnCNN-tf2","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Pythonista7%2FDnCNN-tf2/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Pythonista7%2FDnCNN-tf2/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Pythonista7%2FDnCNN-tf2/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Pythonista7","download_url":"https://codeload.github.com/Pythonista7/DnCNN-tf2/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":233641233,"owners_count":18707119,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["denoising-images","denoising-network","dncnn","gaussian-noise","tf2"],"created_at":"2024-10-05T18:03:07.459Z","updated_at":"2025-09-20T07:31:18.995Z","avatar_url":"https://github.com/Pythonista7.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Deep Denoise\n\nThis is a tensorflow-2 implementation of the paper [Beyond a Gaussian Denoiser: Residual Learning ofDeep CNN for Image Denoising](https://arxiv.org/pdf/1608.03981.pdf).\n\n### Dataset used : \n[BSDS200](https://www2.eecs.berkeley.edu/Research/Projects/CS/vision/bsds/BSDS300-images.tgz)\n\nTo download and unpack run:\n\n`wget https://www2.eecs.berkeley.edu/Research/Projects/CS/vision/bsds/BSDS300-images.tgz`\n\n`tar -xvzf BSDS300-images.tgz` \n\n### Requriments : \n* tensorflow==2.3.1\n* matplotlib\n* numpy\n\n### Run Model\nRun train_denoise.py\n\n### Results\nAfter training by setting depth=5 for 25 epoch we get the below results. The original paper suggests a deeper architecture feel free to tweak the hyper params in the [train_denoise.py](train_denoise.py) file.\n\n![alt](res1.png)\n\n![alt](res2.png)","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpythonista7%2Fdncnn-tf2","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpythonista7%2Fdncnn-tf2","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpythonista7%2Fdncnn-tf2/lists"}