738 citations · 1.1k across the 85 of their papers we have counts for
24 papers · 1 filter
PocketDVDNet: Realtime Video Denoising for Real Camera Noise
Crispian Morris, Imogen Dexter, Fan Zhang +2
Live video denoising under realistic, multi-component sensor noise remains challenging for applications such as autofocus, autonomous driving, and surveillance. We propose PocketDV…
TempRetinex: Retinex-based Unsupervised Enhancement for Low-light Video Under Diverse Lighting Conditions
Yini Li, Louis Forster, David Bull +1
The acquisition of paired low-light video sequences remains challenging due to issues associated with poor temporal consistency, varying illumination characteristics and camera par…
Guiding WaveMamba with Frequency Maps for Image Debanding
Xinyi Wang, Smaranda Tasmoc, Nantheera Anantrasirichai +1
Compression at low bitrates in modern codecs often introduces banding artifacts, especially in smooth regions such as skies. These artifacts degrade visual quality and are common i…
MR2US-Pro: Prostate MR to Ultrasound Image Translation and Registration Based on Diffusion Models
Xudong Ma, Nantheera Anantrasirichai, Stefanos Bolomytis +1
The diagnosis of prostate cancer increasingly depends on multimodal imaging, particularly magnetic resonance imaging (MRI) and transrectal ultrasound (TRUS). However, accurate regi…
A Multimodal Approach for Fluid Overload Prediction: Integrating Lung Ultrasound and Clinical Data
Tianqi Yang, Nantheera Anantrasirichai, Oktay Karakuş +2
Managing fluid balance in dialysis patients is crucial, as improper management can lead to severe complications. In this paper, we propose a multimodal approach that integrates vis…
The Quest for Early Detection of Retinal Disease: 3D CycleGAN-based Translation of Optical Coherence Tomography into Confocal Microscopy
Xin Tian, Nantheera Anantrasirichai, Lindsay Nicholson +1
Optical coherence tomography (OCT) and confocal microscopy are pivotal in retinal imaging, offering distinct advantages and limitations. In vivo OCT offers rapid, non-invasive imag…
TaGAT: Topology-Aware Graph Attention Network For Multi-modal Retinal Image Fusion
Xin Tian, Nantheera Anantrasirichai, Lindsay Nicholson +1
In the realm of medical image fusion, integrating information from various modalities is crucial for improving diagnostics and treatment planning, especially in retinal health, whe…
CPSNet: Physics-Inspired Label-Free Deep Unfolding for Lung Ultrasound B-Line Detection
Tianqi Yang, Oktay Karakuş, Nantheera Anantrasirichai +2
In this paper, we propose CPSNet, a label-free deep unfolding framework for lung ultrasound image analysis. CPSNet unfolds a Cauchy proximal splitting algorithm into a forward-back…
A Spatio-temporal Aligned SUNet Model for Low-light Video Enhancement
Ruirui Lin, Nantheera Anantrasirichai, Alexandra Malyugina +1
Distortions caused by low-light conditions are not only visually unpleasant but also degrade the performance of computer vision tasks. The restoration and enhancement have proven t…
DUBLINE: A Deep Unfolding Network for B-line Detection in Lung Ultrasound Images
Tianqi Yang, Nantheera Anantrasirichai, Oktay Karakuş +3
In the context of lung ultrasound, the detection of B-lines, which are indicative of interstitial lung disease and pulmonary edema, plays a pivotal role in clinical diagnosis. Curr…
OCT2Confocal: 3D CycleGAN based Translation of Retinal OCT Images to Confocal Microscopy
Xin Tian, Nantheera Anantrasirichai, Lindsay Nicholson +1
Optical coherence tomography (OCT) and confocal microscopy are pivotal in retinal imaging, each presenting unique benefits and limitations. In-vivo OCT offers rapid, non-invasive i…
Wavelet-based Topological Loss for Low-Light Image Denoising
Alexandra Malyugina, Nantheera Anantrasirichai, David Bull
Despite extensive research conducted in the field of image denoising, many algorithms still heavily depend on supervised learning and their effectiveness primarily relies on the qu…
ST-MFNet Mini: Knowledge Distillation-Driven Frame Interpolation
Crispian Morris, Duolikun Danier, Fan Zhang +2
Currently, one of the major challenges in deep learning-based video frame interpolation (VFI) is the large model sizes and high computational complexity associated with many high p…
A Semi-supervised Learning Approach for B-line Detection in Lung Ultrasound Images
Tianqi Yang, Nantheera Anantrasirichai, Oktay Karakuş +2
Studies have proved that the number of B-lines in lung ultrasound images has a strong statistical link to the amount of extravascular lung water, which is significant for hemodialy…
A Topological Loss Function: Image Denoising on a Low-Light Dataset
Alexandra Malyugina, Nantheera Anantrasirichai, David Bull
Although image denoising algorithms have attracted significant research attention, surprisingly few have been proposed for, or evaluated on, noise from imagery acquired under real…
High-resolution Coastline Extraction in SAR Images via MISP-GGD Superpixel Segmentation
Odysseas Pappas, Nantheera Anantrasirichai, Byron Adams +1
High accuracy coastline/shoreline extraction from SAR imagery is a crucial step in a number of maritime and coastal monitoring applications. We present a method based on image segm…
Sparse InSAR Data 3D Inpainting for Ground Deformation Detection Along the Rail Corridor
Odysseas Pappas, Juliet Biggs, David Bull +2
Monitoring of ground movement close to the rail corridor, such as that associated with landslips caused by ground subsidence and/or uplift, is of great interest for the detection a…
Contextual colorization and denoising for low-light ultra high resolution sequences
N. Anantrasirichai, David Bull
Low-light image sequences generally suffer from spatio-temporal incoherent noise, flicker and blurring of moving objects. These artefacts significantly reduce visual quality and, i…
Red Blood Cell Segmentation with Overlapping Cell Separation and Classification on Imbalanced Dataset
Korranat Naruenatthanaset, Thanarat H. Chalidabhongse, Duangdao Palasuwan +2
Automated red blood cell (RBC) classification on blood smear images helps hematologists to analyze RBC lab results in a reduced time and cost. However, overlapping cells can cause…
Encoding in the Dark Grand Challenge: An Overview
Nantheera Anantrasirichai, Fan Zhang, Alexandra Malyugina +2
A big part of the video content we consume from video providers consists of genres featuring low-light aesthetics. Low light sequences have special characteristics, such as spatio-…
Detection of Line Artefacts in Lung Ultrasound Images of COVID-19 Patients via Non-Convex Regularization
Oktay Karakuş, Nantheera Anantrasirichai, Amazigh Aguersif +3
In this paper, we present a novel method for line artefacts quantification in lung ultrasound (LUS) images of COVID-19 patients. We formulate this as a non-convex regularisation pr…
Fast Depth Estimation for View Synthesis
Nantheera Anantrasirichai, Majid Geravand, David Braendler +1
Disparity/depth estimation from sequences of stereo images is an important element in 3D vision. Owing to occlusions, imperfect settings and homogeneous luminance, accurate estimat…
Atmospheric turbulence removal using convolutional neural network
Jing Gao, N. Anantrasirichai, David Bull
This paper describes a novel deep learning-based method for mitigating the effects of atmospheric distortion. We have built an end-to-end supervised convolutional neural network (C…
The application of Convolutional Neural Networks to Detect Slow, Sustained Deformation in InSAR Timeseries
N. Anantrasirichai, J. Biggs, F. Albino +1
Automated systems for detecting deformation in satellite InSAR imagery could be used to develop a global monitoring system for volcanic and urban environments. Here we explore the…