A deceptively simple signal processing method allows researchers to quantify complex and irregular patterns of high frequency neuronal activity in whole brain at single-neuron resolution by ...

Abstract: Blind deconvolution over graphs involves using (observed) output graph signals to obtain both the inputs (sources) as well as the filter that drives (models) the graph diffusion process.

Abstract: Bismuth germanate (BGO) has been receiving attention again because it is a potential scintillator for future time-of-flight positron emission tomography. Owing to its optical properties, BGO ...

This repository explores the problem of image blurring and deblurring. It includes a Jupyter Notebook and a Streamlit web application, enabling users to interactively adjust regularization parameters ...

This project implements image deblurring using Wiener convolution in both serial and parallel implementations. The project first applies synthetic blur to raw images and then deblurs them using the ...