YasinRezvani/Image_Denoising_Using_FFT_and_DnCNN
Image denoising using both traditional FFT-based filtering and a deep learning approach with DnCNN for comparative performance analysis.
Improve the clarity of your images by removing unwanted visual noise. This tool takes a noisy image and produces a cleaner, enhanced version using advanced filtering techniques or a deep learning model. It's ideal for anyone who works with images that suffer from poor quality due to noise, such as photographers, medical imaging specialists, or quality control inspectors.
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Use this if you need to clean up noisy images and want to compare different noise reduction methods to find the best approach for your specific image data.
Not ideal if you need real-time image denoising or have highly specialized noise types that require very specific, domain-specific algorithms.
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Language
Jupyter Notebook
License
MIT
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Last pushed
Mar 31, 2025
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