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 ...

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...

Peter Gratton, Ph.D., is a New Orleans-based editor and professor with over 20 years of experience in investing, economics, and public policy. Peter began covering markets at Multex (Reuters) and has ...

Abstract: Nonblind image deconvolution/deblurring aims at restoring sharp images from their noisy blurred versions using an associated blur kernel with potential ...

Abstract: During astronomical observation, the centroiding of space targets is a crucial technology for improving trajectory association in images, celestial positioning, and orbit determination.

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 ...