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This code shows how to denoise image in several methods. Here I've used gaussian blur, median blur, bilateral filter,\n non local denoise and wavelet denoise method to denoise the image.\n\n[![Compatibility](https://img.shields.io/badge/python-3.12-brightgreen.svg)](https://www.python.org/)\n[![Modified](https://img.shields.io/badge/Coverage-done-green)](Image-denoiser)\n[![Hits](https://hits.sh/github.com/Onnesok/Image-denoiser.svg)](https://hits.sh/github.com/Onnesok/Image-denoiser/)\n## Installation\n\nFirst create a virtual environment named denoiser to avoid package conflicts. use ``cmd or bash`` to do it.\n\n```bash\npython3 -m venv denoiser\n```\nNow source or activate environment.\n#### For linux\n\n```bash\nsource ./denoiser/bin/activate\n```\n\n#### For windows cmd\n\n```bash\ndenoiser\\Scripts\\activate\n```\n\n## Install packages\nFor latest version......\n```bash\npip install numpy matplotlib opencv-python pywavelets\n```\n\nNow select interpreter of vs code to your selected virtual environment from the bottom right corner.\n\nYou are done and good to go....\n\nHappy coding !\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fonnesok%2Fimage-denoiser","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fonnesok%2Fimage-denoiser","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fonnesok%2Fimage-denoiser/lists"}