impulse-noise-removal

Tensorflow implementation of conditional variational auto-encoder for MNIST

This project has two parts. In part one, we use markov random field to denoise an image. In Part two, we use similar model for image segmentation.

It is a Java implementation of underwater images and videos enhancement by fusion

A deep learning approach for stripe noise removal

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).

Demo to use GANs for denoising and synthesising ultrasound images

Graduate k-space masking for MRI image denoising and blurring (on the example of Agilent FID data). (Python 3)

Image denoising using mean, median, wavelet and pre trained model -Restormer

k-space weighting and masking for denoising of MRI image without blurring or losing contrast, as well as for brightening of the objects in the image with simultaneous noise reduction (on the example of Agilent FID data). (Python 3)