feat: Create image denoising web application - #292
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This commit introduces a new Flask-based web application that allows you to upload an image and receive a denoised version of it. The application includes: - A Flask backend (`denoise_app/app.py`) with routes for image upload, processing, and serving. - Image denoising logic (`denoise_app/denoising.py`) using OpenCV's `fastNlMeansDenoisingColored` method. - HTML templates (`denoise_app/templates/`) for the upload form and results display. - Basic CSS styling (`denoise_app/static/css/style.css`) for an improved user interface. - Unit tests (`tests/`) for both the denoising module and the Flask application routes, ensuring functionality and error handling. - A `requirements.txt` file listing necessary dependencies (Flask, opencv-python, numpy). - A comprehensive `.gitignore` file to exclude unnecessary files from version control. The application structure is organized with separate directories for uploads, denoised images, templates, and static files. Error handling and basic file type validation are included.
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This commit introduces a new Flask-based web application that allows you to upload an image and receive a denoised version of it.
The application includes:
denoise_app/app.py) with routes for image upload, processing, and serving.denoise_app/denoising.py) using OpenCV'sfastNlMeansDenoisingColoredmethod.denoise_app/templates/) for the upload form and results display.denoise_app/static/css/style.css) for an improved user interface.tests/) for both the denoising module and the Flask application routes, ensuring functionality and error handling.requirements.txtfile listing necessary dependencies (Flask, opencv-python, numpy)..gitignorefile to exclude unnecessary files from version control.The application structure is organized with separate directories for uploads, denoised images, templates, and static files. Error handling and basic file type validation are included.