This project explores various techniques for enhancing image quality and reducing noise in digital images. The focus is on comparing the effectiveness of two different approaches: FFT (Fast Fourier Transform) filters and DnCNN (Denoising Convolutional Neural Network) denoising.
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This project explores the effectiveness of FFT filters and DnCNN denoising in improving image quality by reducing noise in digital images.
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YasinRezvani/Image_Denoising_Using_FFT_And_DnCNN
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This project explores the effectiveness of FFT filters and DnCNN denoising in improving image quality by reducing noise in digital images.