SoundPy (alpha stage) is a research-based python package for speech and sound. Applications include deep-learning, filtering, speech-enhancement, audio augmentation, feature extraction and visualization, dataset and audio file conversion, and beyond.

Blind deconvolution of motion blur

An Wiener Filter Implementation for Image Processing Task

A comparison of Median filter and Wiener filter in image restoration.

Recover blurry images using Weiner deconvolution of an image with user-defined point spread function (PSF)

Various adaptive filter implementations (university project)

Denoising filter for Avisynth 2.6.

Use Python packages, like OpenCV, Skimage and Pillow to process digital images

Digital Image Processing Assignment solutions

This repository provides a PyTorch implementation of FFDNet image denoising https://arxiv.org/abs/1710.04026. First implemented by Matias Tassano https://doi.org/10.5201/ipol.2019.231, the FFDNet source code has been adapted so as to extract cameras PRNU.

A novel approach to blind motion deblurring by converting a non-blind method (Weiner Deconvolution) to a blind method using Deep Learning

Locally Adaptive Wiener Filters for Image Denoising

StochasticA is a textbook / website for an “Introduction to Stochastic Signal Processing”. Materials for this website can be found here. Be sure to read the README.md document if you want to know more about the implementation.

An implementation of Wiener Filter for Denoising and Deblurring Gaussians from Images

Kalman and Wiener Filter for faulty sensor interpolation.

These scripts were written for my final project; if the topic is of interest to you, feel free to contact me.

Consider an image which is corrupted by both additive Gaussian noise and defocus blur. Here I have implemented a Wiener filter to restore the image to make it less noisy and less blurry. To evaluate the restored image I use PSNR (Peak Signal to Noise Ratio).

Adaptive Signal Processing (2020 Fall)

enhance and restore different types of images by using various approaches

Statistical Digital Signal Processing and Modeling