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.

An Wiener Filter Implementation for Image Processing Task

Blind deconvolution of motion blur

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

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

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

Locally Adaptive Wiener Filters for Image Denoising

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

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.

Kalman and Wiener Filter for faulty sensor interpolation.

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

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

This repository contains my assignment solutions for the Digital Image Processing course (M2608.001000_001) offered by Seoul National University (Fall 2020).

Computer Vision code

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).

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.

Practices of image deblurring, image inpainting, and image classification.