DeepAI AI Chat
Log In Sign Up

Comparison of classical and Bayesian imaging in radio interferometry

08/26/2020
by   Philipp Arras, et al.
0

CLEAN, the commonly employed imaging algorithm in radio interferometry, suffers from the following shortcomings: in its basic version it does not have the concept of diffuse flux, and the common practice of convolving the CLEAN components with the CLEAN beam erases the potential for super-resolution; it does not output uncertainty information; it produces images with unphysical negative flux regions; and its results are highly dependent on the so-called weighting scheme as well as on any human choice of CLEAN masks to guiding the imaging. Here, we present the Bayesian imaging algorithm resolve which solves the above problems and naturally leads to super-resolution. In this publication we take a VLA observation of Cygnus A at four different frequencies and image it with single-scale CLEAN, multi-scale CLEAN and resolve. Alongside the sky brightness distribution resolve estimates a baseline-dependent correction function for the noise budget, the Bayesian equivalent of weighting schemes. We report noise correction factors between 0.3 and 340. The enhancements achieved by resolve are paid for by higher computational effort.

READ FULL TEXT

page 11

page 12

page 13

page 14

page 15

page 19

page 21

page 22

02/26/2020

Unpaired Image Super-Resolution using Pseudo-Supervision

In most studies on learning-based image super-resolution (SR), the paire...
03/06/2018

Radio Imaging With Information Field Theory

Data from radio interferometers provide a substantial challenge for stat...
11/04/2020

Robust Super-Resolution of Real Faces using Smooth Features

Real low-resolution (LR) face images contain degradations which are too ...
06/17/2022

Multi-scale Super-resolution Magnetic Resonance Spectroscopic Imaging with Adjustable Sharpness

Magnetic Resonance Spectroscopic Imaging (MRSI) is a valuable tool for s...
09/17/2019

Multi-FAN: Multi-Spectral Mosaic Super-Resolution Via Multi-Scale Feature Aggregation Network

This paper introduces a novel method to super-resolve multi-spectral ima...
12/14/2021

Mitigating Channel-wise Noise for Single Image Super Resolution

In practice, images can contain different amounts of noise for different...
02/07/2019

Dual-Reference Design for Holographic Coherent Diffraction Imaging

A new reference design is introduced for Holographic Coherent Diffractio...