Streamlit app that identifies the noise type in an image (ResNet-18), then denoises it with a type-specific RIDNet in overlapping patches. PSNR 28 to 35 dB on test images.
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Updated
May 26, 2025 - Python
Streamlit app that identifies the noise type in an image (ResNet-18), then denoises it with a type-specific RIDNet in overlapping patches. PSNR 28 to 35 dB on test images.
BSc.-Thesis "Noise classification of traffic noise on embedded systems" conducted at FHV (AT) in cooperation with NTi-Audio AG (FL)
Classifying image noise type (Gaussian, Periodic, Salt & Pepper) with histogram features and scikit-learn models
CAP6614-Fall2025: Adaptive noise-type routing CNN that classifies and denoises images via specialized branches, compared against a unified model across MNIST, CIFAR, and STL-10. UCF Final Project.
This project classifies environmental sounds using MFCC features and an SVM classifier to distinguish different real-world audio events.
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