The detection of peaks and valleys in a 1d-vector or 2d-array (image)
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Updated
May 17, 2024 - Python
The detection of peaks and valleys in a 1d-vector or 2d-array (image)
Tensorflow implementation of conditional variational auto-encoder for MNIST
A deep learning approach for stripe noise removal
A Conditional Generative Adverserial Network (cGAN) was adapted for the task of source de-noising of noisy voice auditory images. The base architecture is adapted from Pix2Pix.
(MICCAI 2022) PyTorch implementation of Denoising of 3D MR images using a voxel-wise hybrid residual MLP-CNN model to improve small lesion diagnostic confidence.
Reproduction of the experiments presented in Kernel PCA and De-noising in Feature Spaces, as a project in DD2434 Machine Learning Advance Course during Winter 2016
An Image Reconstructor that applies fast proximal gradient method (FISTA) to the wavelet transform of an image using L1 and Total Variation (TV) regularizations
EPLL implementation using pytorch
[ICMLA 2016]: Code for the paper "Denoising high resolution images using deep learning approach"
Group project for master class "Context Aware Security Analysis for Computer Vision"
Official code of "Direct Unsupervised Super-Resolution using Generative Adversarial Network (DUS-GAN) for Real-World Data" published in an IEEE Transaction in Image Processing (TIP).
Classical algorithms on image processing
Pytorch implement " Deep Burst Denoising "
Denoising the noised image using OpenCV in Python.
this repository contains utils for post processing scanned documents and classify any kind of document for the given labels
PyTorch implementation code for the WiT single-image desnow network
Convolutional Autoencoder for Denoising Images
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