Improving the signal-to-noise ratio of single-pixel imaging using digital microscanning

MJ Sun, MP Edgar, DB Phillips, GM Gibson… - Optics express, 2016 - opg.optica.org
Single-pixel cameras provide a means to perform imaging at wavelengths where pixelated
detector arrays are expensive or limited. The image is reconstructed from measurements of …

Block matching and Wiener filtering approach to optical turbulence mitigation and its application to simulated and real imagery with quantitative error analysis

RC Hardie, MA Rucci, AJ Dapore… - Optical …, 2017 - spiedigitallibrary.org
We present a block-matching and Wiener filtering approach to atmospheric turbulence
mitigation for long-range imaging of extended scenes. We evaluate the proposed method …

Invasive and non-invasive observation of occluded fast transient events: Computational Tools

SH Ng, V Anand, T Katkus, S Juodkazis - Photonics, 2021 - mdpi.com
Industrial processes involving thermal plasma such as cutting, welding, laser machining with
ultra-short laser pulses (nonequilibrium conditions), high temperature melting using …

Fifnet: A convolutional neural network for motion-based multiframe super-resolution using fusion of interpolated frames

H Elwarfalli, RC Hardie - Computer Vision and Image Understanding, 2021 - Elsevier
We present a novel motion-based multiframe image super-resolution (SR) algorithm using a
convolutional neural network (CNN) that fuses multiple interpolated input frames to produce …

Fast super-resolution using an adaptive Wiener filter with robustness to local motion

RC Hardie, KJ Barnard - Optics express, 2012 - opg.optica.org
We present a new adaptive Wiener filter (AWF) super-resolution (SR) algorithm that employs
a global background motion model but is also robust to limited local motion. The AWF relies …

Exponential Fusion of Interpolated Frames Network (EFIF-Net): Advancing Multi-Frame Image Super-Resolution with Convolutional Neural Networks

H Elwarfalli, D Flaute, RC Hardie - Sensors, 2024 - mdpi.com
Convolutional neural networks (CNNs) have become instrumental in advancing multi-frame
image super-resolution (SR), a technique that merges multiple low-resolution images of the …

A real-time atmospheric turbulence mitigation and super-resolution solution for infrared imaging systems

DR Droege, RC Hardie, BS Allen… - … , and Testing XXIII, 2012 - spiedigitallibrary.org
Imagery acquired with modern imaging systems is susceptible to a variety of degradations,
including blur from the point spread function (PSF) of the imaging system, aliasing from …

Multiframe adaptive Wiener filter super-resolution with JPEG2000-compressed images

BN Narayanan, RC Hardie, EJ Balster - EURASIP journal on Advances in …, 2014 - Springer
Abstract Historically, Joint Photographic Experts Group 2000 (JPEG2000) image
compression and multiframe super-resolution (SR) image processing techniques have …

Fusion of interpolated frames superresolution in the presence of atmospheric optical turbulence

RC Hardie, M Rucci, BK Karch, AJ Dapore… - Optical …, 2019 - spiedigitallibrary.org
An extension of the fusion of interpolated frames superresolution (FIF SR) method to perform
SR in the presence of atmospheric optical turbulence is presented. The goal of such …

Adaptive Wiener filter super-resolution of color filter array images

BK Karch, RC Hardie - Optics express, 2013 - opg.optica.org
Digital color cameras using a single detector array with a Bayer color filter array (CFA)
require interpolation or demosaicing to estimate missing color information and provide full …