Methods to deconvolute experimental mixture spectra via a model that is trained on experimental pure-component spectra. This is documentation for https://github.com ...

This repository contains an automated software system for adaptive filtering and image restoration. It is specifically designed for processing scientific images acquired via CMOS sensors in domains ...

Abstract: Conventional deconvolution methods utilize hand-crafted image priors to constrain the optimization. While deep-learning-based methods have simplified the optimization by end-to-end training, ...

Abstract: Seismic deconvolution is essential for extracting layer information from noisy seismic data, but it is an ill-posed problem with nonunique solutions. Inspired by classical optimization ...